add get_param_array function

EpiAware/Project.toml

@@ -19,6 +19,7 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
+Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
 Turing = "fce5fe82-541a-59a6-adf8-730c64b5f9a0"
 
 [compat]
@@ -37,5 +38,6 @@ Random = "1.9"
 Reexport = "1.2"
 SparseArrays = "1.10"
 Statistics = "1.10"
+Tables = "1.11"
 Turing = "0.30"
 julia = "1.10"

EpiAware/src/EpiAwareUtils/EpiAwareUtils.jl

@@ -9,14 +9,15 @@ using DataFramesMeta: DataFrame, @rename!
 using DynamicPPL: Model, fix, condition
 using MCMCChains: Chains
 using Random: AbstractRNG
+using Tables: rowtable
 
 using Distributions, DocStringExtensions, QuadGK, Statistics, Turing
 
 #Export Structures
 export HalfNormal, DirectSample
 
 #Export functions
-export scan, spread_draws, censored_pmf
+export scan, spread_draws, censored_pmf, get_param_array
 
 include("docstrings.jl")
 include("censored_pmf.jl")
@@ -25,5 +26,6 @@ include("scan.jl")
 include("turing-methods.jl")
 include("DirectSample.jl")
 include("post-inference.jl")
+include("get_param_array.jl")
 
 end

EpiAware/src/EpiAwareUtils/get_param_array.jl

@@ -0,0 +1,32 @@
+"""
+Extract a parameter array from a `Chains` object `chn` that matches the shape of number of sample
+and chain pairs in `chn`.
+
+# Arguments
+- `chn::Chains`: The `Chains` object containing the MCMC samples.
+
+# Returns
+- `param_array`: An array of parameter samples, where each element corresponds to a single
+MCMC sample as a `NamedTuple`.
+
+# Example
+
+Sampling from a simple model which has both scalar and vector quantity random variables across
+4 chains.
+
+```julia
+using Turing, MCMCChains, EpiAware
+
+@model function testmodel()
+    x ~ MvNormal(2, 1.)
+    y ~ Normal()
+end
+mdl = testmodel()
+chn = sample(mdl, Prior(), MCMCSerial(), 250, 4)
+
+A = get_param_array(chn)
+```
+"""
+function get_param_array(chn::Chains)
+    rowtable(chn) |> x -> reshape(x, size(chn, 1), size(chn, 3))
+end

EpiAware/test/EpiAwareUtils/get_param_array.jl

@@ -0,0 +1,14 @@
+@testitem "test unpacking a Chains object" begin
+    using Turing, Distributions
+
+    @model function testmodel()
+        x ~ MvNormal(2, 1.0)
+        y ~ Normal()
+    end
+    mdl = testmodel()
+    chn = sample(mdl, Prior(), MCMCSerial(), 250, 4; progress = false)
+    A = get_param_array(chn)
+
+    @test size(A) == (size(chn)[1], size(chn)[3])
+    @test eltype(A) <: NamedTuple
+end