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smcfcs is an R package implementing Substantive Model Compatibly Fully Conditional Specification Multiple Imputation. Examples and further details are given in the package documentation and vignette.

To install the latest GitHub development version, run:

install.packages("devtools")

devtools::install_github("jwb133/smcfcs")

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Version

Install

install.packages('smcfcs')

Monthly Downloads

1,385

Version

1.4.2

License

GPL-3

Maintainer

Jonathan Bartlett

Last Published

December 7th, 2020

Functions in smcfcs (1.4.2)

ex_linquad

Simulated example data with continuous outcome and quadratic covariate effects
plot.smcfcs

Assess convergence of a smcfcs object
smcfcs

Substantive model compatible fully conditional specification imputation of covariates.
ex_coxquad

Simulated example data with time to event outcome and quadratic covariate effects
ex_poisson

Simulated example data with count outcome, modelled using Poisson regression
ex_lininter

Simulated example data with continuous outcome and interaction between two partially observed covariates
ex_compet

Simulated example data with competing risks outcome and partially observed covariates
ex_logisticquad

Simulated example data with binary outcome and quadratic covariate effects
ex_ncc

Simulated nested case-control data
ex_cc

Simulated case cohort data
smcfcs.casecohort

Substantive model compatible fully conditional specification imputation of covariates for case cohort studies
smcfcs.nestedcc

Substantive model compatible fully conditional specification imputation of covariates for nested case control studies