R: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification

# Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification

## Documentation for package ‘smcfcs’ version 2.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

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