Simulation Helper Functions — mets-simulation • mets

Internal simulation functions used for generating data from various survival, competing risks, frailty, and twin/family models. These functions are primarily intended for use in examples and testing.

Survival and Competing Risks

simrchaz: Simulate from cumulative hazard via inverse CDF.
simul_cifs: Simulate competing risks data from cumulative incidence functions.
simlogitSurvd: Simulate survival data using logistic model.
kumarsim: Simulate competing risks data (Kumaraswamy-type).
kumarsimRCT: Simulate RCT competing risks data (Kumaraswamy-type).

Clayton-Oakes and Frailty Models

sim_ClaytonOakes_family_ace: Simulate family data from Clayton-Oakes ACE model.
sim_ClaytonOakes_twin_ace: Simulate twin data from Clayton-Oakes ACE model.
sim_Compete_twin_ace: Simulate twin competing risks data with ACE frailty.
sim_Compete_simple: Simulate competing risks data with shared frailty.
sim_Frailty_simple: Simulate survival data with shared frailty.
sim_SurvFam: Simulate family survival data with shared frailty.

Binomial Twin/Family Models

sim_BinPlack: Simulate paired binary data (Plackett model).
sim_BinFam: Simulate binary family data.
sim_BinFam2: Simulate binary family data (alternative parameterization).
sim_binClaytonOakes_family_ace: Simulate binary family data (Clayton-Oakes ACE).
sim_binClaytonOakes_twin_ace: Simulate binary twin data (Clayton-Oakes ACE).
sim_binClaytonOakes_pairs: Simulate binary paired data (Clayton-Oakes).
sim_bptwin: Simulate from a biprobit twin model.

Nordic Twin Studies

sim_nordictwin: Simulate Nordic twin registry data.
sim_nordic_random: Simulate Nordic twin data with random effects.
corsim_prostate_random: Simulate correlated prostate cancer data with random effects.