svolpers/bootmi: Calculates ordinary bootstrap for deterministic imputation methods

The package is an implementation of bootstrapping imputed (survey) data as proposed by Shao and Sitter (1996) in R. In addition, the method makes optional use of residual centering as proposed by Little, Bovaird and Widaman (2006), MICE as provided by van Buuren and Groothuis-Oudshoorn (2011), and takes into account the "transform, then impute" procedure as proposed by von Hippel (2009). For faster computation, the parallel-package is implemented. Furthermore, analysis of the simple slopes and regions of significance are implemented for linear models, hierachical linear fixed effects models and imputed data with mice.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.0.0.9001
URL https://github.com/svolpers/bootmi
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("svolpers/bootmi")
svolpers/bootmi documentation built on Feb. 8, 2019, 1:30 a.m.