DESCRIPTION

Package: PatientLevelPrediction
Type: Package
Title: Develop Clinical Prediction Models Using the Common Data Model
Version: 6.4.0
Date: 2025-02-05
Authors@R: c(
    person("Egill", "Fridgeirsson", email = "e.fridgeirsson@erasmusmc.nl", role = c("aut", "cre")),
    person("Jenna", "Reps", email = "jreps@its.jnj.com", role = c("aut")),
    person("Martijn", "Schuemie", role = c("aut")),
    person("Marc", "Suchard", role = c("aut")),
    person("Patrick", "Ryan", role = c("aut")),
    person("Peter", "Rijnbeek", role = c("aut")),
    person("Observational Health Data Science and Informatics", role = c("cph")))
Description: A user friendly way to create patient level prediction models using
  the Observational Medical Outcomes Partnership Common Data Model. Given a cohort
  of interest and an outcome of interest, the package can use data in the Common
  Data Model to build a large set of features. These features can then be used to
  fit a predictive model with a number of machine learning algorithms. This is
  further described in Reps (2017) <doi:10.1093/jamia/ocy032>.
License: Apache License 2.0
URL: https://ohdsi.github.io/PatientLevelPrediction/, https://github.com/OHDSI/PatientLevelPrediction
BugReports: https://github.com/OHDSI/PatientLevelPrediction/issues
VignetteBuilder: knitr
Depends:
    R (>= 4.0.0)
Imports:
    Andromeda,
    Cyclops (>= 3.0.0),
    DatabaseConnector (>= 6.0.0),
    digest,
    dplyr,
    FeatureExtraction (>= 3.0.0),
    Matrix,
    memuse,
    ParallelLogger (>= 2.0.0),
    pROC,
    PRROC,
    rlang,
    SqlRender (>= 1.1.3),
    tidyr,
    utils
Suggests:
    curl,
    Eunomia (>= 2.0.0),
    glmnet,
    ggplot2,
    gridExtra,
    IterativeHardThresholding,
    knitr,
    lightgbm,
    Metrics,
    mgcv,
    OhdsiShinyAppBuilder (>= 1.0.0),
    parallel,
    polspline,
    readr,
    ResourceSelection,
    ResultModelManager (>= 0.2.0),
    reticulate (>= 1.30),
    rmarkdown,
    RSQLite,
    scoring,
    survival,
    survminer,
    testthat,
    withr,
    xgboost (> 1.3.2.1)
RoxygenNote: 7.3.2
Encoding: UTF-8
Config/testthat/edition: 3
Roxygen: list(markdown = TRUE)