Aggregate Ruhela grid: one-page IRR comparison across analyzers.

Runs every aggregate Ruhela formulation analyzer against the supplied named datasets list and presents a single primary-IRR comparison table (GEE cluster-robust > NB GLM > Poisson GLM).

Usage

morie_otis_analyze_ruhela_grid(datasets, out_dir = NULL)

Arguments

datasets

Named list keyed by dataset id (b03..d05).

out_dir

Optional output directory.

Value

morie_otis_analysis_result.

Examples

# \donttest{
otis_b03 <- morie_synth_otis("b03", n = 120L, seed = 1L)
otis_c01 <- morie_synth_otis("c01", n = 120L, seed = 1L)
morie_otis_analyze_ruhela_grid(list(b03 = otis_b03, c01 = otis_c01))
#> OTIS Ruhela formulations grid summary -- one-page IRR/ATE comparison across all aggregate RF analyzers
#> ======================================================================================================
#>   Aggregate datasets covered  24
#>   Per-row datasets covered    see analyze_a01/b01/b02_ruhela_formulations + alt-T variants
#>   MRM chi^2 datasets (c, d)   see analyze_c_chi2 / analyze_d_chi2
#>   Primary estimator priority  GEE-NB > GEE-Poisson > NB GLM > Poisson GLM
#> 
#> One-page comparison of every aggregate Ruhela formulation currently shipped. Primary IRR is the GEE cluster-robust estimate when available; otherwise the NB GLM estimate. 
# }