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Paper-ready master report – every Ruhela formulation in one result.

Source: R/otis_all_analyze.R
morie_otis_analyze_ruhela_master.Rd

Sections:

  1. Aggregate Ruhela formulations grid

  2. (Optional) per-row Ruhela formulations on a01/b01/b02

  3. MRM chi-square family on c-series + d-series

  4. Mandela-RF cross-comparison (provincial vs federal)

Usage

morie_otis_analyze_ruhela_master(
  datasets,
  include_per_row = FALSE,
  out_dir = NULL
)

Arguments

datasets

Named list of OTIS data.frames.

include_per_row

Logical; if TRUE also runs the slow per-row RFs. Default FALSE.

out_dir

Optional output directory.

Value

morie_otis_analysis_result.

Examples

# \donttest{
datasets_list <- list(b03 = morie_synth_otis("b03", n = 120L, seed = 1L),
                      c01 = morie_synth_otis("c01", n = 120L, seed = 1L))
morie_otis_analyze_ruhela_master(datasets_list)
#> OTIS Ruhela formulations -- paper-ready master report (provincial + federal-aggregate companion)
#> ================================================================================================
#>   Sections                     2
#>   Aggregate RFs                24 (b03-b09 + c01-c12 + d02-d05 + region-cluster variants)
#>   Per-row RFs included         FALSE
#>   MRM chi-square               c-series + d-series families
#>   Methodology attribution      MRM (Multilevel Reconciliation Methodology)
#>   Acknowledgements (separate)  Jauregui, A. Laniyonu
#> 
#> Master report compiling every Ruhela formulation analyzer shipped in morie. Sections: aggregate IRR grid (cluster-robust where high-cardinality grouping applies); per-row IRM-DML ATE on a01/b01/b02 (when include_per_row=TRUE); MRM chi^2 on c-series + d-series; Mandela-RF cross-comparison. 
# }