Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification

---

Documentation for package ‘smcfcs’ version 1.8.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

ex_cc	Simulated case cohort data
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_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.nestedcc	Substantive model compatible fully conditional specification imputation of covariates for nested case control studies
smcfcs.parallel	Parallel substantive model compatible imputation