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mitml

Tools for multiple imputation in multilevel modeling

This R package provides tools for multiple imputation of missing data in multilevel modeling. It includes a user-friendly interface to the packages pan and jomo, and several functions for visualization, data management, and the analysis of multiply imputed data sets.

The purpose of mitml is to provide users with a set of effective and user-friendly tools for multiple imputation of multilevel data without requiring advanced knowledge of its statistical underpinnings. Examples and additional information can be found in the official documentation of the package. If you use mitml and have suggestions for improvement, please email me (see here) or file an issue at the GitHub repository.

CRAN version

The official version of mitml is hosted on CRAN and may be found here. The CRAN version can be install from within R using:

install.packages("mitml")

GitHub version

The version hosted here is essentially a snapshot of the CRAN version, allowing better tracking of issues and requests for future release. In general, however, it may be different from the CRAN version and might contain intended changes in advance. The GitHub version can be installed using devtools as:

install.packages("devtools")
devtools::install_github("simongrund1/mitml")

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Version

Install

install.packages('mitml')

Monthly Downloads

46,063

Version

0.3-4

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Simon Grund

Last Published

September 13th, 2016

Functions in mitml (0.3-4)

is.mitml.list

Check if an object is of class mitml.list
as.mitml.list

Convert a list of data sets to mitml.list
mids2mitml.list

Convert objects of class mids to mitml.list
leadership

Example data set on leadership style and job satisfaction
anova.mitml.result

Compare several nested models
jomoImpute

Impute multilevel missing data using jomo
mitml-package

mitml: Tools for multiple imputation in multilevel modeling
justice

Example data set on employees' justice perceptions and satisfaction
clusterMeans

Calculate cluster means
long2mitml.list

Convert imputations from long format to mitml.list
read.mitml

Read mitml objects from file
testEstimates

Compute final estimates and inferences
plot.mitml

Print diagnostic plots
mitmlComplete

Extract imputed data sets
testModels

Test multiple parameters and compare nested models
panImpute

Impute multilevel missing data using pan
multilevelR2

Calculate R-squared measures for multilevel models
testConstraints

Test functions and constraints of model parameters
summary.mitml

Summary measures for imputation models
studentratings

Example data set on student's ratings and achievement
write.mitmlMplus

Write mitml objects to Mplus format
write.mitmlSPSS

Write mitml objects to SPSS compatible format
write.mitmlSAV

Write mitml objects to native SPSS format
write.mitml

Write mitml objects to file
with.mitml.list

Evaluate an expression in a list of imputed data set