d04 aggregate Ruhela: non-majority religion -> custodial deaths.

Usage

morie_otis_analyze_d04_ruhela_aggregate(data, out_dir = NULL)

morie_otis_analyze_d04_mrm_aggregate(data, out_dir = NULL)

Arguments

data: d04 data.frame.
out_dir: Optional.

Value

morie_otis_analysis_result.

Examples

# \donttest{
otis_d04 <- morie_synth_otis("d04", n = 120L, seed = 1L)
morie_otis_analyze_d04_ruhela_aggregate(otis_d04)
#> OTIS d04 -- Aggregate RF: Non-majority religion -> Number of custodial deaths
#> =============================================================================
#>   Source file                            d04_deaths_in_custody_religion.csv
#>   Dataset id                             d04
#>   Treatment column                       T_minority_religion
#>   Outcome (count)                        Number_CustodialDeaths
#>   Year FE                                Year
#>   Covariate FEs                          none
#>   Cluster group (GEE)                    --
#>   Cells                                  120
#>   Total outcome count                    5101
#>   Overdispersion (Poisson AIC - NB AIC)  1114.2
#> 
#> Aggregate RF on d04: religious-minority death counts.
#> 
#> IRR > 1 ==> treatment increases the count rate; IRR < 1 ==> treatment decreases it. Concordance between Poisson and NB indicates equidispersion; large gap (Poisson AIC > NB AIC) indicates overdispersion -- trust NB. 
# }