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mitml (version 0.3-1)

Tools for Multiple Imputation in Multilevel Modeling

Description

Provides tools for multiple imputation of missing data in multilevel modeling. 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.

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Version

Install

install.packages('mitml')

Monthly Downloads

85,493

Version

0.3-1

License

GPL (>= 2)

Maintainer

Simon Grund

Last Published

May 11th, 2016

Functions in mitml (0.3-1)

panImpute

Impute multilevel missing data using pan
mids2mitml.list

Convert objects of class mids to mitml.list
is.mitml.list

Check if an object is of class mitml.list
mitmlComplete

Extract imputed data sets
with.mitml.list

Evaluate an expression in a list of imputed data set
summary.mitml

Summary measures for imputation models
write.mitml

Write mitml objects to file
studentratings

Example data set on student's ratings and achievement
anova.mitml.result

Compare several nested models
multilevelR2

Calculate R-squared measures for multilevel models
mitml-package

mitml: Tools for multiple imputation in multilevel modeling
jomoImpute

Impute multilevel missing data using jomo
write.mitmlMplus

Write mitml objects to Mplus format
as.mitml.list

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

Read mitml objects from file
clusterMeans

Calculate cluster means
write.mitmlSPSS

Write mitml objects to SPSS compatible format
testConstraints

Test functions and constraints of model parameters
justice

Example data set on employees' justice perceptions and satisfaction
testEstimates

Compute final estimates and inferences
long2mitml.list

Convert imputations from long format to mitml.list
write.mitmlSAV

Write mitml objects to native SPSS format
testModels

Test multiple parameters and compare nested models
plot.mitml

Print diagnostic plots