diff --git a/DESCRIPTION b/DESCRIPTION
index 064aca0..065fd25 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -31,7 +31,8 @@ Suggests:
     primarycensored,
     vdiffr,
     knitr,
-    rmarkdown
+    rmarkdown,
+    pkgload
 Config/testthat/edition: 3
 Encoding: UTF-8
 Roxygen: list(markdown = TRUE)
diff --git a/NEWS.md b/NEWS.md
index 235fc84..1cdf915 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -2,6 +2,7 @@
 
 ## Features
 * Add day of week effect to simulated timeseries (#91)
+* Estimate day-of-week effects as a random effect in the fitted model and correct for them in growth rate estimation (#89)
 
 # RtGam v0.2.0
 
diff --git a/R/RtGam.R b/R/RtGam.R
index 85e118d..15dc38c 100644
--- a/R/RtGam.R
+++ b/R/RtGam.R
@@ -1,3 +1,4 @@
+# nolint start: line_length_linter
 #' Fit a generalized additive model to incident cases
 #'
 #' Incident cases are modeled as a smooth function of time with a generalized
@@ -8,10 +9,10 @@
 #'
 #' Incident cases (\eqn{y}) are modeled as smoothly changing over time:
 #'
-#' \deqn{\text{log}\{E(y)\} = \alpha + f_{\text{global}}(t)}
+#' \deqn{\text{log}\{E(y)\} = \alpha + f_{\text{global}}(t) + \omega(\text{wday}(t))}
 #'
-#' where incidence is negative-binomially distributed and \eqn{f(t)} is a smooth
-#' function of time.
+#' where incidence is negative-binomially distributed, \eqn{f(t)} is a smooth
+#' function of time, and \eqn{\omega(\text{wday}(t))} is a random day-of-week effect.
 #'
 #' @param cases A vector of non-negative incident case counts occurring on an
 #'   associated `reference_date`. Missing values (NAs) are not allowed.
@@ -20,6 +21,13 @@
 #'   once.
 #' @param group The grouping variable for the case/reference-date pair. Not yet
 #'   implemented and a value other than `NULL` will throw an error.
+#' @param day_of_week A boolean or a vector of custom values to be applied to the
+#'    model as a random effect. If `TRUE`, then `RtGam` will use the parsed
+#'    `reference_date` values to infer the day of week. If a vector of the same
+#'    length as `reference_date`, then the user-supplied values are used as the
+#'    day-of-week effect, overriding the actual day of week. This approach can
+#'    be used to, for example, adjust for atypical reporting due to a holiday.
+#'    If `FALSE` no day of week effect is applied.
 #' @param k An integer, the _total_ dimension of all the smoothing basis
 #'   functions. Defaults to `smooth_dim_heuristic(length(cases))`, which picks a
 #'   reasonable estimate based on the number of provided data points. This total
@@ -58,6 +66,12 @@
 #'   * backend: The user-provided `backend` argument
 #'   * formula: The formula object provided to the model
 #'   * diagnostics: The quantitative diagnostics of the model fit
+#' @references
+#' Mellor, Jonathon, et al. "An Application of Nowcasting Methods: Cases of
+#'    Norovirus during the Winter 2023/2024 in England." medRxiv (2024): 2024-07. \cr
+#' Ward, Thomas, et al. "Growth, reproduction numbers and factors affecting the
+#'    spread of SARS-CoV-2 novel variants of concern in the UK from October 2020
+#'    to July 2021: a modelling analysis." BMJ open 11.11 (2021): e056636. \cr
 #' @export
 #' @examples
 #' withr::with_seed(12345, {
@@ -70,9 +84,11 @@
 #' )
 #' fit <- RtGam(cases, reference_date)
 #' fit
+# nolint end: line_length_linter
 RtGam <- function(cases,
                   reference_date,
                   group = NULL,
+                  day_of_week = TRUE,
                   k = smooth_dim_heuristic(length(cases)),
                   m = penalty_dim_heuristic(length(unique(reference_date))),
                   backend = "gam",
@@ -82,17 +98,25 @@ RtGam <- function(cases,
     cases,
     reference_date,
     group,
+    day_of_week,
     k,
     m,
     backend
   )
-  reference_date <- validate(cases, reference_date, group, k, m)
+  reference_date <- validate(cases, reference_date, group, day_of_week, k, m)
 
-  df <- dataset_creator(cases, reference_date, group, backend)
+  df <- dataset_creator(
+    cases = cases,
+    reference_date = reference_date,
+    group = group,
+    day_of_week = day_of_week,
+    backend = backend
+  )
   formula <- formula_creator(
     k = k,
     m = m,
-    is_grouped = !rlang::is_null(group)
+    is_grouped = !rlang::is_null(group),
+    day_of_week = df[["day_of_week"]]
   )
 
   fit <- do.call(
@@ -109,6 +133,7 @@ RtGam <- function(cases,
     fit = fit,
     df = df,
     group = group,
+    day_of_week = day_of_week,
     k = k,
     m = m,
     backend = backend,
diff --git a/R/checkers.R b/R/checkers.R
index 6f84197..3061ced 100644
--- a/R/checkers.R
+++ b/R/checkers.R
@@ -30,29 +30,21 @@ check_vector_length <- function(
 }
 
 check_vectors_equal_length <- function(
-    cases,
     reference_date,
-    group,
+    ...,
     call = rlang::caller_env()) {
-  if (rlang::is_null(group)) {
-    args <- c("cases", "reference_date")
-    lengths <- c(length(cases), length(reference_date))
-    all_equal <- length(cases) == length(reference_date)
-  } else {
-    args <- c("cases", "reference_date", "group")
-    lengths <- c(length(cases), length(reference_date), length(group))
-    all_equal <- all(
-      length(cases) == length(reference_date),
-      length(cases) == length(group)
-    )
-  }
+  # Drop NULL elements
+  raw_args <- list(...)
+  args <- raw_args[which(sapply(raw_args, \(x) !rlang::is_null(x)))]
 
-  if (!all_equal) {
+  # Check equal length
+  equal_length <- sapply(args, \(arg) length(arg) == length(reference_date))
+
+  # Error if not
+  args <- names(equal_length)
+  if (!all(equal_length)) {
     cli::cli_abort(
-      c(
-        "{.arg {args}} must be the same length",
-        "i" = "{.arg {args}} are of lengths {.val {lengths}}"
-      ),
+      "{.arg {args}} is not the same length as {.arg reference_date}",
       class = "RtGam_invalid_input",
       call = call
     )
@@ -109,6 +101,7 @@ check_required_inputs_provided <- function(
     cases,
     reference_date,
     group,
+    day_of_week,
     k,
     m,
     backend,
@@ -116,6 +109,7 @@ check_required_inputs_provided <- function(
   rlang::check_required(cases, "cases", call = call)
   rlang::check_required(reference_date, "reference_date", call = call)
   rlang::check_required(group, "group", call = call)
+  rlang::check_required(day_of_week, "day_of_week", call = call)
   rlang::check_required(k, "k", call = call)
   rlang::check_required(m, "m", call = call)
 
diff --git a/R/dataset_creator.R b/R/dataset_creator.R
index 52b6048..5328b96 100644
--- a/R/dataset_creator.R
+++ b/R/dataset_creator.R
@@ -4,7 +4,12 @@
 #' @return A dataframe for mgcv
 #' @export
 #' @keywords internal
-dataset_creator <- function(cases, reference_date, group, backend) {
+dataset_creator <- function(
+    cases,
+    reference_date,
+    group,
+    day_of_week,
+    backend) {
   cases_int <- integerify_cases(cases)
 
   timestep <- dates_to_timesteps(
@@ -21,7 +26,11 @@ dataset_creator <- function(cases, reference_date, group, backend) {
     cases = cases_int,
     timestep = timestep,
     reference_date = reference_date,
-    group = group
+    group = group,
+    day_of_week = set_day_of_week_factor(
+      day_of_week,
+      reference_date
+    )
   )
 
   class(dat) <- c(glue::glue("RtGam_{backend}"), class(dat))
@@ -75,3 +84,24 @@ dates_to_timesteps <- function(reference_date,
 
   (ref_date_int - min_int) / (max_int - min_int)
 }
+
+#' Map user input to model-expected format
+#' Downstream the type of the return is used as a sentinel for
+#' whether to implement a day of week effect. If a factor, then
+#' the day of week effect is added to the model. Otherwise, the
+#' day of week effect is excluded.
+#' @noRd
+set_day_of_week_factor <- function(day_of_week, reference_date) {
+  if (rlang::is_true(day_of_week)) {
+    as.factor(format(reference_date, "%A"))
+  } else if (rlang::is_false(day_of_week)) {
+    rep(FALSE, length(reference_date))
+  } else if (rlang::is_bare_vector(day_of_week)) {
+    as.factor(day_of_week)
+  } else {
+    # This case shouldn't be reachable by the user
+    cli::cli_abort(c(
+      "{.arg day_of_week} has an unexpected type. See {.code ?RtGam()}"
+    ))
+  }
+}
diff --git a/R/formula.R b/R/formula.R
index b46557b..074c054 100644
--- a/R/formula.R
+++ b/R/formula.R
@@ -20,7 +20,7 @@
 #' @param is_grouped Whether to use a hierarchical model. Not yet supported.
 #' @return A formula to be used by [`mgcv::gam()`]
 #' @noRd
-formula_creator <- function(k, m, is_grouped) {
+formula_creator <- function(k, m, is_grouped, day_of_week) {
   outcome <- "cases"
   intercept <- "1"
 
@@ -42,9 +42,15 @@ formula_creator <- function(k, m, is_grouped) {
                                          k = {smooth_basis_dim[['global_trend']]},
                                          bs = 'tp')")
   }
-  # nolint end
 
-  f <- glue::glue("{outcome} ~ {intercept} {plus_global_trend}")
+  if (is.factor(day_of_week)) {
+    plus_day_of_week <- "+ s(day_of_week, bs = 're')"
+  } else {
+    plus_day_of_week <- ""
+  }
+
+  f <- glue::glue("{outcome} ~ {intercept} {plus_global_trend} {plus_day_of_week}")
+  # nolint end
   stats::as.formula(f)
 }
 
diff --git a/R/predict.R b/R/predict.R
index 5aa3f09..6522f78 100644
--- a/R/predict.R
+++ b/R/predict.R
@@ -15,6 +15,15 @@
 #' @param min_date,max_date Optional. Date-like objects specifying the start
 #'   and end of the prediction range. See **Details** for more information on
 #'   their usage.
+#' @param day_of_week How to handle day-of-week effects when predicting
+#'   `obs_cases`. Defaults to `TRUE`, which identifies and applies the fitted
+#'   day-of-week effect, if possible. When automatic detection fails or
+#'   different levels are desirable, custom levels can be applied with a vector
+#'   of equal length to the number of desired dates. If `FALSE`, the day-of-week
+#'   effect is turned off (i.e., set to zero). When predicting parameters other
+#'   than `obs_cases` or `object` is an `RtGam` model that did not include
+#'   day-of-week effects, the day-of-week effect is turned off and this argument
+#'   is silently ignored.
 #' @param n An integer specifying the number of posterior samples to use
 #'   for predictions. Default is 100.
 #' @param mean_delay Optional. An integer specifying the mean number of days
@@ -72,11 +81,12 @@
 #' the `gratia` package. The model estimates basis function coefficients on the
 #' smooth terms \eqn{\hat \beta} and smoothing parameter(s) \eqn{\lambda}. The
 #' coefficients have the joint posterior distribution
-#' \deqn{\beta | \lambda \sim N(\hat \beta, \mathbf{V}_{\hat \beta}}
+#' \deqn{\beta | \lambda \sim N(\hat \beta, \mathbf{V}_{\hat \beta})}
 #' where \eqn{\mathbf{V}_{\hat \beta}} is the smoothing-parameter uncertainty
 #' corrected covariance matrix of the basis function coefficients. We draw
 #' samples from \eqn{\mathbf{V}_{\hat \beta}} and multiply them by the dates of
-#' interest to generate posterior draws.
+#' interest to generate posterior draws. If estimating `"Rt"` or `"r"`
+#' the day-of-week effect is excluded (i.e., set to zero).
 #'
 #' For the intrinsic growth rate, we draw one day before and one day after every
 #' day of interest. We difference these two days within the smooth to get growth
@@ -93,6 +103,7 @@
 #' observation error to the posterior expected incident cases to generate
 #' posterior predicted incident cases.
 #'
+#'
 #' @seealso [gratia::fitted_samples()], [gratia::posterior_samples()]
 #' @references Miller, David L. "Bayesian views of generalized additive
 #'    modelling." arXiv preprint arXiv:1902.01330 (2019).
@@ -132,6 +143,7 @@ predict.RtGam <- function(
     horizon = NULL,
     min_date = NULL,
     max_date = NULL,
+    day_of_week = TRUE,
     n = 100,
     mean_delay = NULL,
     gi_pmf = NULL,
@@ -148,6 +160,7 @@ predict.RtGam <- function(
       horizon = horizon,
       min_date = min_date,
       max_date = max_date,
+      day_of_week = day_of_week,
       n = n,
       mean_delay = mean_delay,
       gi_pmf = gi_pmf,
@@ -195,6 +208,7 @@ predict_obs_cases <- function(
     horizon = NULL,
     min_date = NULL,
     max_date = NULL,
+    day_of_week = TRUE,
     n = 10,
     gi_pmf = NULL,
     seed = 12345,
@@ -206,19 +220,32 @@ predict_obs_cases <- function(
     min_date = min_date,
     max_date = max_date,
     horizon = horizon,
+    day_of_week = day_of_week,
     call = call
   )
 
-  # Use `posterior_samples()` over `fitted_samples()` to get response
-  # w/ obs uncertainty
-  fitted <- gratia::posterior_samples(
-    object[["model"]],
+  args <- list(
+    model = object[["model"]],
     data = newdata,
-    unconditional = TRUE,
     n = n,
     seed = seed,
+    unconditional = TRUE,
+    newdata.guaranteed = TRUE,
     ...
   )
+  # Turn off day of week only if requested and also
+  # was set to on in the model fitting
+  if (
+    is.factor(object[["data"]][["day_of_week"]]) && rlang::is_false(day_of_week)
+  ) {
+    args[["exclude"]] <- "s(day_of_week)"
+  }
+  fitted <- suppress_factor_warning(do.call(
+    what = gratia::posterior_samples,
+    args = args
+  ))
+  fitted[".response"] <- as.integer(fitted[[".response"]])
+
   format_predicted_dataframe(fitted, newdata)
 }
 
@@ -250,15 +277,23 @@ predict_growth_rate <- function(
   # transparent. We have 1, 2, 3, ... and map to 1, NA, 2, NA, ...
   # to show that the timesteps are (t0, t2), (t1, t3), ...
   newdata[".row"] <- interleave(seq(1, nrow(newdata) / 2, 1), NA)
-  fitted <- gratia::fitted_samples(
-    object[["model"]],
+  args <- list(
+    model = object[["model"]],
     data = newdata,
     n = n,
     seed = seed,
     unconditional = TRUE,
     scale = "linear_predictor",
+    newdata.guaranteed = TRUE,
     ...
   )
+  if (is.factor(object[["data"]][["day_of_week"]])) {
+    args[["exclude"]] <- "s(day_of_week)"
+  }
+  fitted <- suppress_factor_warning(do.call(
+    what = gratia::fitted_samples,
+    args = args
+  ))
   timestep_first_row <- which((fitted[[".row"]] - 1) %% 2 == 0)
   fitted <- data.frame(
     .row = (fitted[timestep_first_row, ".row"] + 1) / 2,
@@ -294,15 +329,23 @@ predict_rt <- function(
     gi_pmf = gi_pmf,
     call = call
   )
-  fitted <- gratia::fitted_samples(
-    object[["model"]],
+  args <- list(
+    model = object[["model"]],
     data = newdata,
     n = n,
     seed = seed,
     unconditional = TRUE,
     scale = "response",
+    newdata.guaranteed = TRUE,
     ...
   )
+  if (is.factor(object[["data"]][["day_of_week"]])) {
+    args[["exclude"]] <- "s(day_of_week)"
+  }
+  fitted <- suppress_factor_warning(do.call(
+    what = gratia::fitted_samples,
+    args = args
+  ))
   # Rt calculation
   fitted <- rt_by_group(fitted,
     group_cols = ".draw",
@@ -413,6 +456,7 @@ create_newdata_dataframe <- function(
     min_date,
     max_date,
     horizon,
+    day_of_week,
     mean_delay,
     gi_pmf,
     delta = delta,
@@ -449,10 +493,33 @@ create_newdata_dataframe <- function(
     )
   }
 
-  newdata <- gratia::data_slice(object[["model"]], timestep = timesteps)
+
+  args <- list(
+    object = object[["model"]],
+    timestep = timesteps
+  )
+
+  # Handle day of week explictly to work around gratia::data_slice
+  # needing an explicit level
+  if (is.factor(object[["data"]][["day_of_week"]])) {
+    # Use a placeholder value to satisy gratia bc it can't
+    # reliably pick a factor level without erroring
+    args["day_of_week"] <- gratia::ref_level(object[["data"]][["day_of_week"]])
+  }
+
+  newdata <- do.call(what = gratia::data_slice, args = args)
   newdata[".row"] <- seq_along(timesteps)
   newdata["reference_date"] <- desired_dates
 
+  # And re-add day of week correctly for case where it's needed
+  # All other situations will ignore day of week in drawing samples
+  if (parameter == "obs_cases") {
+    if (!rlang::is_false(day_of_week)) {
+      dow <- extract_dow_for_predict(object, day_of_week, desired_dates, call)
+      newdata["day_of_week"] <- dow
+    }
+  }
+
   newdata
 }
 
@@ -521,3 +588,103 @@ rt_by_group <- function(df, group_cols, value_col, vec) {
 
   do.call(rbind, grouped_rt)
 }
+
+#' Manually map day-of-week effects, imputing where possible and outputting
+#' an informative error message where not.
+#' @noRd
+extract_dow_for_predict <- function(object, day_of_week, desired_dates, call) {
+  validate_day_of_week(day_of_week)
+
+  fit_data <- object[["data"]]
+  matching_dates <- desired_dates %in% fit_data[["reference_date"]]
+  all_desired_dates_in_fit <- all(matching_dates)
+  is_custom_vec <- !rlang::is_true(day_of_week) && !rlang::is_false(day_of_week)
+  if (
+    rlang::is_true(day_of_week) && all_desired_dates_in_fit
+  ) {
+    desired_dates <- fit_data[
+      fit_data[["reference_date"]] %in% desired_dates,
+      c("day_of_week", "reference_date")
+    ]
+    # dedupe in case of groups
+    deduped <- unique(desired_dates)
+    as.factor(deduped[["day_of_week"]])
+  } else if (
+    rlang::is_true(object[["day_of_week"]]) && rlang::is_true(day_of_week)
+  ) {
+    # If using default, we can impute day of week pattern
+    set_day_of_week_factor(object[["day_of_week"]], desired_dates)
+  } else if (
+    is_custom_vec && length(day_of_week) == length(desired_dates)
+  ) {
+    # If user passes an appropriate length vector and is using
+    # a custom day of week, use their input
+
+    # First check that all the levels were used in the fit
+    factor_dow <- as.factor(day_of_week)
+    known <- factor_dow %in% object[["data"]][["day_of_week"]]
+    if (!all(known)) {
+      cli::cli_abort(c(
+        "{.arg day_of_week} provided unknown level",
+        "!" = "Known levels: {.val {unique(fit_data[['day_of_week']])}}",
+        "x" = "Provided but unknown: {.val {unique(day_of_week[!known])}}"
+      ), call = call)
+    }
+    # If yes, return user-provided custom vector
+    factor_dow
+  } else if (!rlang::is_true(day_of_week)) {
+    # If vector provided but malformed error out with fix
+    n <- length(desired_dates)
+    mind <- min(desired_dates)
+    maxd <- max(desired_dates)
+    missing <- desired_dates[which(!matching_dates)]
+
+    cli::cli_abort(c(
+      "{.arg day_of_week} was provided a vector of the wrong length",
+      ">" = "Provide {.val {n}} values, for {.val {mind}} to {.val {maxd}}",
+      "x" = "Was provided {.val {length(day_of_week)}} values instead"
+    ))
+  } else {
+    # Error out with informative message about custom day of week levels
+    n <- length(desired_dates)
+    mind <- min(desired_dates)
+    maxd <- max(desired_dates)
+    missing <- desired_dates[which(!matching_dates)]
+
+    # Else tell user what we need
+    cli::cli_abort(c(
+      "{.arg day_of_week} required when using custom levels and new dates",
+      "x" = "{.val {missing}} {?wasn't/weren't} in the call to {.fn RtGam}",
+      "i" = "Pass {.fn predict} {.arg day_of_week} a vector of values to use",
+      ">" = "Provide {.val {n}} values, for {.val {mind}} to {.val {maxd}}"
+    ))
+  }
+}
+
+#' Suppress mgcv warning that factor levels are far from the data
+#' "factor levels 1 not in original fit". This warning is spurious.
+#' We're explicitly excluding the day-of-week random effect smooth but
+#' need to have some placeholder value in the dataset.
+#' @noRd
+suppress_factor_warning <- function(expr, call = rlang::caller_env()) {
+  rlang::try_fetch(
+    expr = expr,
+    warning = function(cnd) {
+      cnd_text <- as.character(cnd)
+      matched <- grepl(
+        pattern = "factor level?[s] [0-9]* not in original fit",
+        x = cnd_text
+      )
+      # Rethrow
+      if (matched) {
+        # https://stackoverflow.com/questions/49817935
+        invokeRestart("muffleWarning")
+      } else {
+        cli::cli_warn("Problem while drawing samples",
+          parent = cnd,
+          call = call
+        )
+      }
+    }
+  )
+}
diff --git a/R/print.R b/R/print.R
index 18f1e18..458f836 100644
--- a/R/print.R
+++ b/R/print.R
@@ -3,6 +3,7 @@
 new_RtGam <- function(fit,
                       df,
                       group,
+                      day_of_week,
                       k,
                       m,
                       backend,
@@ -17,7 +18,8 @@ new_RtGam <- function(fit,
     m = m,
     backend = backend,
     formula = formula,
-    diagnostics = diagnostics
+    diagnostics = diagnostics,
+    day_of_week = day_of_week
   )
 
   structure(formatted, class = "RtGam")
@@ -65,6 +67,9 @@ print.RtGam <- function(x, ...) {
   cat(x$k, "\n")
   cat("Family:", x$model$family$family, "\n")
   cat("Link function:", x$model$family$link)
+  if (is.factor(x[["data"]][["day_of_week"]])) {
+    cat("\nUsing day-of-week effects")
+  }
 
   cat("\n===============================\n")
   # Data
@@ -80,6 +85,11 @@ print.RtGam <- function(x, ...) {
   } else {
     cat(length(unique(x[["data"]][["group"]])))
   }
+  if (is.factor(x[["data"]][["day_of_week"]])) {
+    cat("\nDay-of-week levels: ")
+    cat(nlevels(x[["data"]][["day_of_week"]]))
+  }
+
   cat("\n\n")
   invisible(x)
 }
diff --git a/R/validate.R b/R/validate.R
index bcae1f5..9116ce0 100644
--- a/R/validate.R
+++ b/R/validate.R
@@ -8,6 +8,7 @@
 validate <- function(cases,
                      reference_date,
                      group,
+                     day_of_week,
                      k,
                      m,
                      call = rlang::caller_env()) {
@@ -15,6 +16,7 @@ validate <- function(cases,
   validate_cases(cases, call)
   reference_date <- validate_dates(reference_date, "reference_date", call)
   validate_group(group, call)
+  validate_day_of_week(day_of_week, call)
   validate_min_dimensionality(k,
     arg = "k",
     min_dim = 3,
@@ -29,7 +31,20 @@ validate <- function(cases,
   )
 
   # Per-group checks
-  check_vectors_equal_length(cases, reference_date, group, call)
+  check_vectors_equal_length(
+    reference_date = reference_date,
+    cases = cases,
+    group = group,
+    call = call
+  )
+  # Only check day of week length if it's not a bool
+  if (length(day_of_week) > 1) {
+    check_vectors_equal_length(
+      reference_date = reference_date,
+      day_of_week = day_of_week,
+      call = call
+    )
+  }
   check_dates_unique(reference_date, group, call)
 
   invisible(reference_date)
@@ -61,6 +76,18 @@ validate_group <- function(group, call) {
   }
 }
 
+#' Check day of week is a bare bool or is vector of corresponding elements
+#' @noRd
+validate_day_of_week <- function(day_of_week, call) {
+  arg <- "day_of_week"
+  # If `day_of_week` is a bare bool, pass
+  if (!(rlang::is_true(day_of_week) || rlang::is_false(day_of_week))) {
+    check_vector(day_of_week, arg, call)
+    check_no_missingness(day_of_week, arg, call)
+  }
+  invisible()
+}
+
 #' Used by both dimensionality_heuristic() and RtGam()
 #' @noRd
 validate_min_dimensionality <- function(n, arg, min_dim, max_val = NA, call) {
diff --git a/inst/WORDLIST b/inst/WORDLIST
index 14405d8..b8625c6 100644
--- a/inst/WORDLIST
+++ b/inst/WORDLIST
@@ -8,12 +8,13 @@ CoV
 Cori
 Dependabot
 Epidemiol
-GHA
 Gratia
 Justfile
 MERCHANTABILITY
 Mellor
 NOTEs
+Norovirus
+Nowcasting
 PLoS
 PMF
 README
@@ -35,9 +36,9 @@ ggplot
 http
 https
 md
+medRxiv
 mgcv
 modelling
-mutliply
 nolint
 nowcast
 oversmoothing
diff --git a/man/RtGam.Rd b/man/RtGam.Rd
index 7533b56..3a39e78 100644
--- a/man/RtGam.Rd
+++ b/man/RtGam.Rd
@@ -8,6 +8,7 @@ RtGam(
   cases,
   reference_date,
   group = NULL,
+  day_of_week = TRUE,
   k = smooth_dim_heuristic(length(cases)),
   m = penalty_dim_heuristic(length(unique(reference_date))),
   backend = "gam",
@@ -26,6 +27,14 @@ once.}
 \item{group}{The grouping variable for the case/reference-date pair. Not yet
 implemented and a value other than \code{NULL} will throw an error.}
 
+\item{day_of_week}{A boolean or a vector of custom values to be applied to the
+model as a random effect. If \code{TRUE}, then \code{RtGam} will use the parsed
+\code{reference_date} values to infer the day of week. If a vector of the same
+length as \code{reference_date}, then the user-supplied values are used as the
+day-of-week effect, overriding the actual day of week. This approach can
+be used to, for example, adjust for atypical reporting due to a holiday.
+If \code{FALSE} no day of week effect is applied.}
+
 \item{k}{An integer, the \emph{total} dimension of all the smoothing basis
 functions. Defaults to \code{smooth_dim_heuristic(length(cases))}, which picks a
 reasonable estimate based on the number of provided data points. This total
@@ -76,10 +85,10 @@ familiarity with \code{mgcv} may be helpful.
 \section{Model specification}{
 Incident cases (\eqn{y}) are modeled as smoothly changing over time:
 
-\deqn{\text{log}\{E(y)\} = \alpha + f_{\text{global}}(t)}
+\deqn{\text{log}\{E(y)\} = \alpha + f_{\text{global}}(t) + \omega(\text{wday}(t))}
 
-where incidence is negative-binomially distributed and \eqn{f(t)} is a smooth
-function of time.
+where incidence is negative-binomially distributed, \eqn{f(t)} is a smooth
+function of time, and \eqn{\omega(\text{wday}(t))} is a random day-of-week effect.
 }
 
 \examples{
@@ -94,6 +103,13 @@ reference_date <- seq.Date(
 fit <- RtGam(cases, reference_date)
 fit
 }
+\references{
+Mellor, Jonathon, et al. "An Application of Nowcasting Methods: Cases of
+Norovirus during the Winter 2023/2024 in England." medRxiv (2024): 2024-07. \cr
+Ward, Thomas, et al. "Growth, reproduction numbers and factors affecting the
+spread of SARS-CoV-2 novel variants of concern in the UK from October 2020
+to July 2021: a modelling analysis." BMJ open 11.11 (2021): e056636. \cr
+}
 \seealso{
 \code{\link[=smooth_dim_heuristic]{smooth_dim_heuristic()}} more information on the smoothing basis
 dimension, \link[mgcv:choose.k]{mgcv::choose.k} for more general guidance on GAMs from \code{mgcv},
diff --git a/man/dataset_creator.Rd b/man/dataset_creator.Rd
index a71a092..3a1e602 100644
--- a/man/dataset_creator.Rd
+++ b/man/dataset_creator.Rd
@@ -4,7 +4,7 @@
 \alias{dataset_creator}
 \title{Parse input vectors into a format for \code{{mgcv}}}
 \usage{
-dataset_creator(cases, reference_date, group, backend)
+dataset_creator(cases, reference_date, group, day_of_week, backend)
 }
 \arguments{
 \item{cases}{A vector of non-negative incident case counts occurring on an
@@ -17,6 +17,14 @@ once.}
 \item{group}{The grouping variable for the case/reference-date pair. Not yet
 implemented and a value other than \code{NULL} will throw an error.}
 
+\item{day_of_week}{A boolean or a vector of custom values to be applied to the
+model as a random effect. If \code{TRUE}, then \code{RtGam} will use the parsed
+\code{reference_date} values to infer the day of week. If a vector of the same
+length as \code{reference_date}, then the user-supplied values are used as the
+day-of-week effect, overriding the actual day of week. This approach can
+be used to, for example, adjust for atypical reporting due to a holiday.
+If \code{FALSE} no day of week effect is applied.}
+
 \item{backend}{One of \code{gam} or \code{bam}; defaults to \code{gam}. In general, models
 should be fit with \code{\link[mgcv:gam]{mgcv::gam()}}. If \code{\link[mgcv:gam]{mgcv::gam()}} is too slow,
 \code{\link[mgcv:bam]{mgcv::bam()}} converges more quickly but introduces some additional
diff --git a/man/predict.RtGam.Rd b/man/predict.RtGam.Rd
index 1cc00ac..19e2d40 100644
--- a/man/predict.RtGam.Rd
+++ b/man/predict.RtGam.Rd
@@ -10,6 +10,7 @@
   horizon = NULL,
   min_date = NULL,
   max_date = NULL,
+  day_of_week = TRUE,
   n = 100,
   mean_delay = NULL,
   gi_pmf = NULL,
@@ -33,6 +34,16 @@ predicts the next 7 days.}
 and end of the prediction range. See \strong{Details} for more information on
 their usage.}
 
+\item{day_of_week}{How to handle day-of-week effects when predicting
+\code{obs_cases}. Defaults to \code{TRUE}, which identifies and applies the fitted
+day-of-week effect, if possible. When automatic detection fails or
+different levels are desirable, custom levels can be applied with a vector
+of equal length to the number of desired dates. If \code{FALSE}, the day-of-week
+effect is turned off (i.e., set to zero). When predicting parameters other
+than \code{obs_cases} or \code{object} is an \code{RtGam} model that did not include
+day-of-week effects, the day-of-week effect is turned off and this argument
+is silently ignored.}
+
 \item{n}{An integer specifying the number of posterior samples to use
 for predictions. Default is 100.}
 
@@ -124,11 +135,12 @@ Samples are drawn from the posterior distribution of the fitted model using
 the \code{gratia} package. The model estimates basis function coefficients on the
 smooth terms \eqn{\hat \beta} and smoothing parameter(s) \eqn{\lambda}. The
 coefficients have the joint posterior distribution
-\deqn{\beta | \lambda \sim N(\hat \beta, \mathbf{V}_{\hat \beta}}
+\deqn{\beta | \lambda \sim N(\hat \beta, \mathbf{V}_{\hat \beta})}
 where \eqn{\mathbf{V}_{\hat \beta}} is the smoothing-parameter uncertainty
 corrected covariance matrix of the basis function coefficients. We draw
 samples from \eqn{\mathbf{V}_{\hat \beta}} and multiply them by the dates of
-interest to generate posterior draws.
+interest to generate posterior draws. If estimating \code{"Rt"} or \code{"r"}
+the day-of-week effect is excluded (i.e., set to zero).
 
 For the intrinsic growth rate, we draw one day before and one day after every
 day of interest. We difference these two days within the smooth to get growth
diff --git a/man/predictor.Rd b/man/predictor.Rd
index 015a06d..e8b91e8 100644
--- a/man/predictor.Rd
+++ b/man/predictor.Rd
@@ -12,6 +12,7 @@ predict_obs_cases(
   horizon = NULL,
   min_date = NULL,
   max_date = NULL,
+  day_of_week = TRUE,
   n = 10,
   gi_pmf = NULL,
   seed = 12345,
@@ -57,6 +58,16 @@ predicts the next 7 days.}
 and end of the prediction range. See \strong{Details} for more information on
 their usage.}
 
+\item{day_of_week}{How to handle day-of-week effects when predicting
+\code{obs_cases}. Defaults to \code{TRUE}, which identifies and applies the fitted
+day-of-week effect, if possible. When automatic detection fails or
+different levels are desirable, custom levels can be applied with a vector
+of equal length to the number of desired dates. If \code{FALSE}, the day-of-week
+effect is turned off (i.e., set to zero). When predicting parameters other
+than \code{obs_cases} or \code{object} is an \code{RtGam} model that did not include
+day-of-week effects, the day-of-week effect is turned off and this argument
+is silently ignored.}
+
 \item{n}{An integer specifying the number of posterior samples to use
 for predictions. Default is 100.}
 
@@ -150,11 +161,12 @@ Samples are drawn from the posterior distribution of the fitted model using
 the \code{gratia} package. The model estimates basis function coefficients on the
 smooth terms \eqn{\hat \beta} and smoothing parameter(s) \eqn{\lambda}. The
 coefficients have the joint posterior distribution
-\deqn{\beta | \lambda \sim N(\hat \beta, \mathbf{V}_{\hat \beta}}
+\deqn{\beta | \lambda \sim N(\hat \beta, \mathbf{V}_{\hat \beta})}
 where \eqn{\mathbf{V}_{\hat \beta}} is the smoothing-parameter uncertainty
 corrected covariance matrix of the basis function coefficients. We draw
 samples from \eqn{\mathbf{V}_{\hat \beta}} and multiply them by the dates of
-interest to generate posterior draws.
+interest to generate posterior draws. If estimating \code{"Rt"} or \code{"r"}
+the day-of-week effect is excluded (i.e., set to zero).
 
 For the intrinsic growth rate, we draw one day before and one day after every
 day of interest. We difference these two days within the smooth to get growth
diff --git a/tests/testthat/_snaps/dataset_creator.md b/tests/testthat/_snaps/dataset_creator.md
new file mode 100644
index 0000000..28237f0
--- /dev/null
+++ b/tests/testthat/_snaps/dataset_creator.md
@@ -0,0 +1,8 @@
+# Day of week parsed appropriately
+
+    Code
+      set_day_of_week_factor(NULL, reference_date)
+    Condition
+      Error in `set_day_of_week_factor()`:
+      ! `day_of_week` has an unexpected type. See `?RtGam()`
+
diff --git a/tests/testthat/_snaps/plot/forecast.svg b/tests/testthat/_snaps/plot/forecast.svg
index 5db8e21..831d896 100644
--- a/tests/testthat/_snaps/plot/forecast.svg
+++ b/tests/testthat/_snaps/plot/forecast.svg
@@ -21,348 +21,217 @@
 <rect x='0.00' y='0.00' width='720.00' height='576.00' style='stroke-width: 1.07; stroke: #FFFFFF; fill: #FFFFFF;' />
 </g>
 <defs>
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-    <rect x='42.58' y='22.78' width='671.94' height='522.33' />
+  <clipPath id='cpNDcuNDh8NzE0LjUyfDIyLjc4fDU0NS4xMQ=='>
+    <rect x='47.48' y='22.78' width='667.04' height='522.33' />
   </clipPath>
 </defs>
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diff --git a/tests/testthat/_snaps/predict.md b/tests/testthat/_snaps/predict.md
index 91cf0c5..20046d6 100644
--- a/tests/testthat/_snaps/predict.md
+++ b/tests/testthat/_snaps/predict.md
@@ -20,3 +20,37 @@
       ! Swapping `min_date` and `max_date`
       > `min_date` 2023-01-02 is after `max_date` 2023-01-01
 
+# Day of week throws correctly formatted errors
+
+    Code
+      extract_dow_for_predict(object = object, day_of_week = c("Holiday", "New level"),
+      desired_dates = as.Date(c("2023-01-02", "2023-01-03")))
+    Condition
+      Error in `extract_dow_for_predict()`:
+      ! `day_of_week` provided unknown level
+      ! Known levels: Sun, Mon, and Holiday
+      x Provided but unknown: "New level"
+
+---
+
+    Code
+      extract_dow_for_predict(object = object, day_of_week = "Holiday",
+        desired_dates = as.Date(c("2023-01-02", "2023-01-03")))
+    Condition
+      Error in `extract_dow_for_predict()`:
+      ! `day_of_week` was provided a vector of the wrong length
+      > Provide 2 values, for 2023-01-02 to 2023-01-03
+      x Was provided 1 values instead
+
+---
+
+    Code
+      extract_dow_for_predict(object = object, day_of_week = TRUE, desired_dates = as.Date(
+        c("2023-01-04", "2023-01-05")))
+    Condition
+      Error in `extract_dow_for_predict()`:
+      ! `day_of_week` required when using custom levels and new dates
+      x 2023-01-04 and 2023-01-05 weren't in the call to `RtGam()`
+      i Pass `predict()` `day_of_week` a vector of values to use
+      > Provide 2 values, for 2023-01-04 to 2023-01-05
+
diff --git a/tests/testthat/_snaps/predict/day-of-week-off.svg b/tests/testthat/_snaps/predict/day-of-week-off.svg
new file mode 100644
index 0000000..45e8bd5
--- /dev/null
+++ b/tests/testthat/_snaps/predict/day-of-week-off.svg
@@ -0,0 +1,233 @@
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+<text x='42.55' y='157.76' text-anchor='end' style='font-size: 8.80px; fill: #4D4D4D; font-family: sans;' textLength='19.58px' lengthAdjust='spacingAndGlyphs'>9000</text>
+<text x='42.55' y='31.79' text-anchor='end' style='font-size: 8.80px; fill: #4D4D4D; font-family: sans;' textLength='24.47px' lengthAdjust='spacingAndGlyphs'>12000</text>
+<polyline points='44.74,532.62 47.48,532.62 ' style='stroke-width: 1.07; stroke: #333333; stroke-linecap: butt;' />
+<polyline points='44.74,406.66 47.48,406.66 ' style='stroke-width: 1.07; stroke: #333333; stroke-linecap: butt;' />
+<polyline points='44.74,280.69 47.48,280.69 ' style='stroke-width: 1.07; stroke: #333333; stroke-linecap: butt;' />
+<polyline points='44.74,154.73 47.48,154.73 ' style='stroke-width: 1.07; stroke: #333333; stroke-linecap: butt;' />
+<polyline points='44.74,28.76 47.48,28.76 ' style='stroke-width: 1.07; stroke: #333333; stroke-linecap: butt;' />
+<polyline points='129.19,547.85 129.19,545.11 ' style='stroke-width: 1.07; stroke: #333333; stroke-linecap: butt;' />
+<polyline points='273.08,547.85 273.08,545.11 ' style='stroke-width: 1.07; stroke: #333333; stroke-linecap: butt;' />
+<polyline points='416.97,547.85 416.97,545.11 ' style='stroke-width: 1.07; stroke: #333333; stroke-linecap: butt;' />
+<polyline points='591.70,547.85 591.70,545.11 ' style='stroke-width: 1.07; stroke: #333333; stroke-linecap: butt;' />
+<text x='129.19' y='556.10' text-anchor='middle' style='font-size: 8.80px; fill: #4D4D4D; font-family: sans;' textLength='27.40px' lengthAdjust='spacingAndGlyphs'>Feb 15</text>
+<text x='273.08' y='556.10' text-anchor='middle' style='font-size: 8.80px; fill: #4D4D4D; font-family: sans;' textLength='27.39px' lengthAdjust='spacingAndGlyphs'>Mar 01</text>
+<text x='416.97' y='556.10' text-anchor='middle' style='font-size: 8.80px; fill: #4D4D4D; font-family: sans;' textLength='27.39px' lengthAdjust='spacingAndGlyphs'>Mar 15</text>
+<text x='591.70' y='556.10' text-anchor='middle' style='font-size: 8.80px; fill: #4D4D4D; font-family: sans;' textLength='25.93px' lengthAdjust='spacingAndGlyphs'>Apr 01</text>
+<text x='381.00' y='568.24' text-anchor='middle' style='font-size: 11.00px; font-family: sans;' textLength='75.23px' lengthAdjust='spacingAndGlyphs'>Reference date</text>
+<text transform='translate(13.05,283.95) rotate(-90)' text-anchor='middle' style='font-size: 11.00px; font-family: sans;' textLength='31.19px' lengthAdjust='spacingAndGlyphs'>Cases</text>
+<text x='47.48' y='14.56' style='font-size: 13.20px; font-family: sans;' textLength='99.82px' lengthAdjust='spacingAndGlyphs'>day_of_week_off</text>
+</g>
+</svg>
diff --git a/tests/testthat/_snaps/print.md b/tests/testthat/_snaps/print.md
index f9b3f86..760126a 100644
--- a/tests/testthat/_snaps/print.md
+++ b/tests/testthat/_snaps/print.md
@@ -58,3 +58,25 @@
       Distinct groups: 2
       
 
+# Print method prints day of week effect
+
+    Code
+      print(mock_RtGam)
+    Output
+      ===============================
+      Fitted RtGam model object (MockBackend)
+      ===============================
+      
+      Model type: Non-adaptive (m = 1)
+      Specified maximum smoothing basis dimension: 5 
+      Family: poisson 
+      Link function: log
+      Using day-of-week effects
+      ===============================
+      
+      Observed data points: 10
+      Distinct reference dates: 10
+      Distinct groups: 2
+      Day-of-week levels: 10
+      
+
diff --git a/tests/testthat/_snaps/validate.md b/tests/testthat/_snaps/validate.md
index 0835203..f3f6075 100644
--- a/tests/testthat/_snaps/validate.md
+++ b/tests/testthat/_snaps/validate.md
@@ -1,3 +1,12 @@
+# Wrong length fails
+
+    Code
+      validate(cases = cases, reference_date = dates, group = groups, day_of_week = day_of_week,
+        k = k, m = m)
+    Condition
+      Error:
+      ! `day_of_week` is not the same length as `reference_date`
+
 # `validate_dates()` is successful
 
     Code
@@ -7,6 +16,16 @@
       ! `dates` is a list
       i Must be of type Date
 
+# validate_day_of_week is successful
+
+    Code
+      validate_day_of_week(c(NA, "a"))
+    Condition
+      Error in `check_no_missingness()`:
+      ! `day_of_week` has missing values
+      i Missing values are not supported in `day_of_week`
+      ! Missing element(s) index: 1
+
 # validate_predict_inputs handles 'obs_cases' correctly
 
     Code
diff --git a/tests/testthat/data/helper_generate_stochastic_sir_rt.R b/tests/testthat/data/helper_generate_stochastic_sir_rt.R
new file mode 100644
index 0000000..b7dca89
--- /dev/null
+++ b/tests/testthat/data/helper_generate_stochastic_sir_rt.R
@@ -0,0 +1,8 @@
+pkgload::load_all()
+data <- stochastic_sir_rt[41:100, ]
+fit <- RtGam(
+  cases = data[["obs_cases"]],
+  reference_date = data[["reference_date"]],
+  day_of_week = TRUE
+)
+saveRDS(fit, "tests/testthat/data/stochastic_sir_fit.rds")
diff --git a/tests/testthat/data/stochastic_sir_fit.rds b/tests/testthat/data/stochastic_sir_fit.rds
index b580a91..602e5ac 100644
Binary files a/tests/testthat/data/stochastic_sir_fit.rds and b/tests/testthat/data/stochastic_sir_fit.rds differ
diff --git a/tests/testthat/test-RtGam.R b/tests/testthat/test-RtGam.R
index 552b429..abdbd4a 100644
--- a/tests/testthat/test-RtGam.R
+++ b/tests/testthat/test-RtGam.R
@@ -16,7 +16,8 @@ test_that("RtGam parses inputs successfully", {
     "m",
     "backend",
     "formula",
-    "diagnostics"
+    "diagnostics",
+    "day_of_week"
   )
 
   expect_s3_class(fit, "RtGam")
diff --git a/tests/testthat/test-checkers.R b/tests/testthat/test-checkers.R
index 2103c76..8f11303 100644
--- a/tests/testthat/test-checkers.R
+++ b/tests/testthat/test-checkers.R
@@ -89,7 +89,7 @@ test_that("Required input check works", {
   group <- c(1, 2)
   k <- 2
   m <- 1
-
+  day_of_week <- FALSE
 
   expect_error(
     check_required_inputs_provided(
@@ -156,6 +156,7 @@ test_that("Required input check works", {
       cases = cases,
       reference_date = reference_date,
       group = group,
+      day_of_week = day_of_week,
       k = k,
       m = m,
       backend = "gam",
diff --git a/tests/testthat/test-prepare_inputs.R b/tests/testthat/test-dataset_creator.R
similarity index 51%
rename from tests/testthat/test-prepare_inputs.R
rename to tests/testthat/test-dataset_creator.R
index f6158a3..799eacc 100644
--- a/tests/testthat/test-prepare_inputs.R
+++ b/tests/testthat/test-dataset_creator.R
@@ -1,6 +1,7 @@
 test_that("Dataframe constructed appropriately", {
   cases <- c(1L, 2L, 3L)
   reference_date <- as.Date(c("2023-01-01", "2023-01-02", "2023-01-03"))
+  day_of_week <- FALSE
   timestep <- c(0, 0.5, 1)
 
   # Without groups
@@ -8,11 +9,18 @@ test_that("Dataframe constructed appropriately", {
     cases = cases,
     timestep = c(0, 0.5, 1),
     reference_date = reference_date,
-    group = rep(NA, 3)
+    group = rep(NA, 3),
+    day_of_week = FALSE
   )
   class(expected) <- c("RtGam_gam", class(expected))
 
-  actual <- dataset_creator(cases, reference_date, NULL, "gam")
+  actual <- dataset_creator(
+    cases = cases,
+    reference_date = reference_date,
+    group = NULL,
+    day_of_week = day_of_week,
+    backend = "gam"
+  )
   expect_equal(actual, expected)
 
   # With groups
@@ -21,11 +29,17 @@ test_that("Dataframe constructed appropriately", {
     cases = cases,
     timestep = c(0, 0.5, 1),
     reference_date = reference_date,
-    group = group
+    group = group,
+    day_of_week = FALSE
   )
   class(expected) <- c("RtGam_gam", class(expected))
 
-  actual <- dataset_creator(cases, reference_date, group, backend = "gam")
+  actual <- dataset_creator(cases,
+    reference_date,
+    group,
+    day_of_week,
+    backend = "gam"
+  )
   expect_equal(actual, expected)
 })
 
@@ -54,3 +68,36 @@ test_that("Converts double vectors to integers with a warning", {
   expect_no_message(integerify_cases(integer_vec))
   expect_equal(integerify_cases(integer_vec), integer_vec)
 })
+
+test_that("Day of week parsed appropriately", {
+  reference_date <- as.Date(c("2023-01-01", "2023-01-02", "2023-01-3"))
+
+  # Case 1: day_of_week is TRUE so dates are auto-parsed
+  expected <- as.factor(format(reference_date, "%A"))
+  expect_equal(
+    set_day_of_week_factor(TRUE, reference_date),
+    expected
+  )
+
+  # Case 2: day_of_week is FALSE -- rep vector of FALSE
+  expected <- rep(FALSE, length(reference_date))
+  expect_equal(
+    set_day_of_week_factor(FALSE, reference_date),
+    expected
+  )
+
+  # Case 3: Manual vector
+  day_of_week_manual <- c("Weekday", "Weekend", "Holiday")
+  expected <- as.factor(day_of_week_manual)
+
+  expect_equal(
+    set_day_of_week_factor(day_of_week_manual, reference_date),
+    expected
+  )
+
+  # Case 4: Surprise unreachable
+  expect_snapshot(
+    set_day_of_week_factor(NULL, reference_date),
+    error = TRUE
+  )
+})
diff --git a/tests/testthat/test-formula.R b/tests/testthat/test-formula.R
index 27dc3bf..0f52568 100644
--- a/tests/testthat/test-formula.R
+++ b/tests/testthat/test-formula.R
@@ -1,26 +1,42 @@
+test_that("Adds day of week", {
+  k <- 10
+  m <- 2
+  is_grouped <- FALSE
+  day_of_week <- as.factor(c("a", "b"))
+  expected <- as.formula("cases ~ 1 + s(timestep, k = 10, m = 2, bs = \"ad\") + s(day_of_week, bs = \"re\")") # nolint
+
+  f <- formula_creator(k, m, is_grouped, day_of_week)
+
+  expect_type(f, "language")
+  expect_equal(deparse(f), deparse(expected))
+})
+
 test_that("Formula created more than 3 weeks", {
   k <- 10
   m <- 2
   is_grouped <- FALSE
-  expected <- "cases ~ 1 + s(timestep, k = 10, m = 2, bs = \"ad\")"
+  day_of_week <- c(NA, NA)
+  expected <- as.formula("cases ~ 1 + s(timestep, k = 10, m = 2, bs = \"ad\")")
 
-  f <- formula_creator(k, m, is_grouped)
+  f <- formula_creator(k, m, is_grouped, day_of_week)
 
   expect_type(f, "language")
-  expect_equal(expected, deparse(f))
+  expect_equal(deparse(expected), deparse(f))
 })
 
 test_that("Formula created fewer than 3 weeks", {
   k <- 10
   m <- 1
+  day_of_week <- c(NA, NA)
   is_grouped <- FALSE
-  expected <- "cases ~ 1 + s(timestep, k = 10, bs = \"tp\")"
+  expected <- as.formula("cases ~ 1 + s(timestep, k = 10, bs = \"tp\")")
 
 
-  f <- formula_creator(k, m, is_grouped)
+  f <- formula_creator(k, m, is_grouped, day_of_week)
 
   expect_type(f, "language")
-  expect_equal(expected, deparse(f))
+  # formula and deparse to standardize whitespace
+  expect_equal(deparse(expected), deparse(f))
 })
 
 test_that("Smooth basis dim created successfully", {
diff --git a/tests/testthat/test-predict.R b/tests/testthat/test-predict.R
index 14fa460..16547af 100644
--- a/tests/testthat/test-predict.R
+++ b/tests/testthat/test-predict.R
@@ -1,5 +1,23 @@
+test_that("Can turn off day of week", {
+  fit <- readRDS(test_path("data", "stochastic_sir_fit.rds"))
+  # Much easier to tell visually
+  p <- plot(fit, day_of_week = FALSE)
+  vdiffr::expect_doppelganger("day_of_week_off", p)
+})
+
+test_that("Can simulate all the way through", {
+  data <- stochastic_sir_rt[41:100, ]
+  fit <- RtGam(data[["obs_cases"]],
+    data[["reference_date"]],
+    day_of_week = TRUE
+  )
+  preds <- predict(fit)
+
+  expect_true(is.data.frame(preds))
+})
+
 test_that("predict can handle string dates", {
-  fit <- readRDS(test_path("data", "fit.rds"))
+  fit <- readRDS(test_path("data", "stochastic_sir_fit.rds"))
 
   # Throws properly formatted warnings
   expect_snapshot(
@@ -12,47 +30,19 @@ test_that("predict can handle string dates", {
 })
 
 test_that("predict_obs_cases predicts observed cases", {
-  fit <- readRDS(test_path("data", "fit.rds"))
-  expected <- data.frame(
-    reference_date = as.Date(c(
-      "2023-01-01",
-      "2023-01-02",
-      "2023-01-03",
-      "2023-01-04",
-      "2023-01-05",
-      "2023-01-06",
-      "2023-01-07",
-      "2023-01-08",
-      "2023-01-09",
-      "2023-01-10"
-    )),
-    .response = c(
-      49,
-      32,
-      52,
-      30,
-      23,
-      24,
-      8,
-      34,
-      46,
-      23
-    ),
-    .draw = c(
-      1L,
-      1L,
-      1L,
-      1L,
-      1L,
-      1L,
-      1L,
-      1L,
-      1L,
-      1L
-    )
+  fit <- readRDS(test_path("data", "stochastic_sir_fit.rds"))
+
+  actual <- predict(fit,
+    min_date = "2023-01-01",
+    max_date = "2023-01-10",
+    n = 2,
+    day_of_week = TRUE
   )
-  actual <- predict.RtGam(fit, n = 1, seed = 12345, parameter = "obs_cases")
-  expect_equal(actual, expected)
+
+  expect_equal(nrow(actual), 20)
+  expect_setequal(colnames(actual), c("reference_date", ".response", ".draw"))
+  expect_true(rlang::is_integer(actual[[".response"]]))
+  expect_setequal(unique(actual[[".draw"]]), c(1, 2))
 })
 
 test_that("predicting little r is on correct scale", {
@@ -117,6 +107,7 @@ test_that("Newdata dataframe generated correctly", {
     min_date = NULL,
     max_date = NULL,
     horizon = NULL,
+    day_of_week = FALSE,
     mean_delay = mean_delay
   )
   expect_equal(colnames(actual), expected_cols)
@@ -344,3 +335,128 @@ test_that("Bad dates throw appropriate status messages", {
     seq.Date(from = min_date, to = max_date, by = "day")
   )
 })
+
+test_that("Day of week parses good cases correctly", {
+  object <- list(
+    data = data.frame(
+      reference_date = as.Date(c("2023-01-01", "2023-01-02", "2023-01-03")),
+      day_of_week = as.factor(c("Sunday", "Monday", "Tuesday"))
+    ),
+    day_of_week = TRUE
+  )
+
+  # First case: happy path needed day of week in object
+  actual <- extract_dow_for_predict(
+    object = object,
+    day_of_week = TRUE,
+    desired_dates = "2023-01-01"
+  )
+  # Need to test properties because new factor obj doesn't have
+  # all the levels
+  expect_true(is.factor(actual))
+  expect_equal(as.character(actual), "Sunday")
+
+  # Second case: happy path day of week can be imputed
+  actual <- extract_dow_for_predict(
+    object = object,
+    day_of_week = TRUE,
+    desired_dates = as.Date("2023-01-04")
+  )
+  expect_equal(actual, as.factor("Wednesday"))
+
+  # Third case: New levels override default
+  actual <- extract_dow_for_predict(
+    object = object,
+    day_of_week = c("Monday"),
+    desired_dates = as.Date("2023-01-04")
+  )
+  expect_equal(actual, as.factor("Monday"))
+})
+
+test_that("Day of week prediction handles custom levels", {
+  object <- list(
+    data = data.frame(
+      reference_date = as.Date(c("2023-01-01", "2023-01-02", "2023-01-03")),
+      day_of_week = as.factor(c("Sun", "Mon", "Holiday"))
+    ),
+    day_of_week = as.factor(c("Sun", "Mon", "Holiday"))
+  )
+
+  # Can lookup dates where possible
+  actual <- extract_dow_for_predict(
+    object = object,
+    day_of_week = TRUE,
+    desired_dates = as.Date(c("2023-01-01", "2023-01-03"))
+  )
+  expect_true(is.factor(actual))
+  expect_equal(as.character(actual), c("Sun", "Holiday"))
+
+  # Can override with custom vec
+  custom <- c("Holiday", "Holiday", "Mon")
+  actual <- extract_dow_for_predict(
+    object = object,
+    day_of_week = custom,
+    desired_dates = as.Date(c("2023-01-02", "2023-01-03", "2023-01-04"))
+  )
+  expect_true(is.factor(actual))
+  expect_equal(as.character(actual), custom)
+})
+
+test_that("Day of week throws correctly formatted errors", {
+  object <- list(
+    data = data.frame(
+      reference_date = as.Date(c("2023-01-01", "2023-01-02", "2023-01-03")),
+      day_of_week = as.factor(c("Sun", "Mon", "Holiday"))
+    ),
+    day_of_week = as.factor(c("Sun", "Mon", "Holiday"))
+  )
+
+  # New level
+  expect_snapshot(
+    error = TRUE,
+    extract_dow_for_predict(
+      object = object,
+      day_of_week = c("Holiday", "New level"),
+      desired_dates = as.Date(c("2023-01-02", "2023-01-03"))
+    )
+  )
+
+  # Malformed vector
+  expect_snapshot(
+    error = TRUE,
+    extract_dow_for_predict(
+      object = object,
+      day_of_week = "Holiday",
+      desired_dates = as.Date(c("2023-01-02", "2023-01-03"))
+    )
+  )
+
+  # New dates but no vec provided
+  expect_snapshot(
+    error = TRUE,
+    extract_dow_for_predict(
+      object = object,
+      day_of_week = TRUE,
+      desired_dates = as.Date(c("2023-01-04", "2023-01-05"))
+    )
+  )
+})
+
+test_that("suppress_factor_warning only supresses the one warning", {
+  throw_warning <- function(warning_text) {
+    warning(warning_text)
+    2 + 2
+  }
+  expect_equal(
+    suppress_factor_warning(
+      throw_warning("factor levels 1 not in original fit")
+    ),
+    4
+  )
+
+  expect_warning(
+    suppress_factor_warning(
+      throw_warning("some other warning")
+    )
+  )
+})
diff --git a/tests/testthat/test-print.R b/tests/testthat/test-print.R
index c935718..6f9ce61 100644
--- a/tests/testthat/test-print.R
+++ b/tests/testthat/test-print.R
@@ -45,3 +45,20 @@ test_that("print method produces output for non-adaptive", {
 
   expect_snapshot(print(mock_RtGam))
 })
+
+test_that("Print method prints day of week effect", {
+  mock_RtGam <- list(
+    backend = "MockBackend",
+    m = 1,
+    k = 5,
+    model = list(family = list(family = "poisson", link = "log")),
+    data = data.frame(
+      reference_date = as.Date("2020-01-01") + 1:10,
+      group = c(rep("a", 5), rep("b", 5)),
+      day_of_week = as.factor(1:10)
+    )
+  )
+  class(mock_RtGam) <- "RtGam"
+
+  expect_snapshot(print(mock_RtGam))
+})
diff --git a/tests/testthat/test-validate.R b/tests/testthat/test-validate.R
index e59e104..5ed8a6e 100644
--- a/tests/testthat/test-validate.R
+++ b/tests/testthat/test-validate.R
@@ -1,16 +1,46 @@
 test_that("`validate()` is successful", {
   cases <- c(1, 2, 3)
   dates <- as.Date(c("2023-01-01", "2023-01-02", "2023-01-03"))
+  day_of_week <- TRUE
   groups <- NULL
   k <- 3
   m <- 1
 
   expect_equal(
-    validate(cases, dates, groups, k, m),
+    validate(
+      cases = cases,
+      reference_date = dates,
+      group = groups,
+      day_of_week = day_of_week,
+      k = k,
+      m = m
+    ),
     dates
   )
 })
 
+test_that("Wrong length fails", {
+  cases <- c(1, 2, 3)
+  dates <- as.Date(c("2023-01-01", "2023-01-02", "2023-01-03"))
+  day_of_week <- c(1, 2)
+  groups <- NULL
+  k <- 3
+  m <- 1
+
+  expect_snapshot(
+    validate(
+      cases = cases,
+      reference_date = dates,
+      group = groups,
+      day_of_week = day_of_week,
+      k = k,
+      m = m
+    ),
+    error = TRUE
+  )
+})
+
+
 test_that("`validate_cases()` is successful", {
   cases <- c(1, 2, 3)
   cases_with_missing <- c(0, 2, 3, NA)
@@ -111,6 +141,24 @@ test_that("`validate_min_dimensionality()` is successful", {
   ))
 })
 
+test_that("validate_day_of_week is successful", {
+  # Case 1: Day of week is true
+  expect_invisible(validate_day_of_week(TRUE))
+
+  # Case 2: Day of week is false
+  expect_invisible(validate_day_of_week(FALSE))
+
+  # Case 3: Use a good vector
+  expect_invisible(validate_day_of_week(c(1, 2)))
+
+  # Case 4: Errors for a bad vector
+  expect_snapshot(
+    error = TRUE,
+    # Can't have NAs
+    validate_day_of_week(c(NA, "a"))
+  )
+})
+
 test_that("validate_predict_inputs handles 'obs_cases' correctly", {
   expect_snapshot(
     validate_predict_inputs(