| ex_cc | Simulated case cohort data |
| ex_coarsening | Simulated example data with a coarsened factor covariate |
| ex_compet | Simulated example data with competing risks outcome and partially observed covariates |
| ex_coxquad | Simulated example data with time to event outcome and quadratic covariate effects |
| ex_dtsam | Simulated discrete time survival data set |
| ex_finegray | Simulated example data with competing risks outcome and partially observed covariates |
| ex_flexsurv | Simulated example data with time-to-event Weibull outcome and two covariates |
| ex_lininter | Simulated example data with continuous outcome and interaction between two partially observed covariates |
| ex_linquad | Simulated example data with continuous outcome and quadratic covariate effects |
| ex_logisticquad | Simulated example data with binary outcome and quadratic covariate effects |
| ex_ncc | Simulated nested case-control data |
| ex_poisson | Simulated example data with count outcome, modelled using Poisson regression |
| plot.smcfcs | Assess convergence of a smcfcs object |
| smcfcs | Substantive model compatible fully conditional specification imputation of covariates. |
| smcfcs.casecohort | Substantive model compatible fully conditional specification imputation of covariates for case cohort studies |
| smcfcs.dtsam | Substantive model compatible fully conditional specification imputation of covariates for discrete time survival analysis |
| smcfcs.finegray | Substantive model compatible fully conditional specification imputation of covariates for a Fine-Gray model |
| smcfcs.flexsurv | Substantive model compatible fully conditional specification imputation of covariates and event times using flexible parametric survival models |
| smcfcs.nestedcc | Substantive model compatible fully conditional specification imputation of covariates for nested case control studies |
| smcfcs.parallel | Parallel substantive model compatible imputation |