Builds the master scenario grid used by both run_simulation_study.R
and the simulation_study vignette. All four distribution families
that are identifiable from summary statistics (lognormal, gamma, Weibull,
Burr XII) are supported, plus the generalised gamma for identifiability
research.
Usage
generate_scenario_library(
include_homogeneous = TRUE,
include_mixed = TRUE,
include_varied_n = TRUE,
include_freq_table = FALSE,
include_burr12 = FALSE,
include_gengamma = FALSE,
include_gg_limitation = FALSE
)Arguments
- include_homogeneous
Include scenarios with fixed summary types
- include_mixed
Include scenarios with mixed summary types
- include_varied_n
Include scenarios with varied sample sizes
- include_freq_table
Include frequency-table summary scenarios
- include_burr12
Include Burr XII scenarios (
dist_type = "burr12")- include_gengamma
Include generalised gamma standard scenarios (
dist_type = "gengamma")- include_gg_limitation
Include generalised gamma limitation scenarios (only used when
include_gengamma = TRUE)
Value
Data frame with one row per scenario and columns:
scenario_name, scenario_group, scenario_idx,
dist_type (one of "lognormal", "gamma",
"weibull", "burr12", "gengamma"),
n_datasets, mu0, tau, phi,
kappa, n_obs_mean, n_obs_sd, n_obs_min,
n_obs_max, summary_type_1_prop–summary_type_4_prop,
summary_type, vary_n.