mice.impute.imputeR.lmFun: Wrapper Function to Imputation Methods in the 'imputeR'...

In alexanderrobitzsch/miceadds: Some Additional Multiple Imputation Functions, Especially for 'mice'

Wrapper Function to Imputation Methods in the imputeR Package

Description

The imputation methods "imputeR.lmFun" and "imputeR.cFun" provide interfaces to imputation methods in the imputeR package for continuous and binary data, respectively.

Usage

mice.impute.imputeR.lmFun(y, ry, x, Fun=NULL, draw_boot=TRUE, add_noise=TRUE, ... )

mice.impute.imputeR.cFun(y, ry, x, Fun=NULL, draw_boot=TRUE, ... )

Arguments

y	Incomplete data vector of length n
ry	Vector of missing data pattern (FALSE – missing, TRUE – observed)
x	Matrix (n x p) of complete covariates.
Fun	Name of imputation functions in imputeR package, e.g., imputeR::ridgeR, see Details.
draw_boot	Logical indicating whether a Bootstrap sample is taken for sampling model parameters
add_noise	Logical indicating whether empirical residuals should be added to predicted values
...	Further arguments to be passed

Details

Methods for continuous variables:

imputeR::CubistR, imputeR::glmboostR, imputeR::lassoR, imputeR::pcrR, imputeR::plsR, imputeR::ridgeR, imputeR::stepBackR, imputeR::stepBothR, imputeR::stepForR

Methods for binary variables: imputeR::gbmC, imputeR::lassoC, imputeR::ridgeC, imputeR::rpartC, imputeR::stepBackC, imputeR::stepBothC, imputeR::stepForC

Value

A vector of length nmis=sum(!ry) with imputed values.

Examples

## Not run: 
#############################################################################
# EXAMPLE 1: Example with binary and continuous variables
#############################################################################

library(mice)
library(imputeR)

data(nhanes, package="mice")
dat <- nhanes
dat$hyp <- as.factor(dat$hyp)

#* define imputation methods
method <- c(age="",bmi="norm",hyp="imputeR.cFun",chl="imputeR.lmFun")
Fun <- list( hyp=imputeR::ridgeC, chl=imputeR::ridgeR)

#** do imputation
imp <- mice::mice(dat1, method=method, maxit=10, m=4, Fun=Fun)
summary(imp)

## End(Not run)

alexanderrobitzsch/miceadds documentation built on Feb. 2, 2024, 10:21 a.m.