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jomo (version 1.2-1)

Multilevel Joint Modelling Multiple Imputation

Description

Similarly to Schafer's package pan, jomo is a package for multilevel joint modelling multiple imputation. Novel aspects of jomo are the possibility of handling binary and categorical data through latent normal variables and the option to use cluster-specific covariance matrices.

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Version

Install

install.packages('jomo')

Monthly Downloads

45,913

Version

1.2-1

License

GPL-2

Maintainer

Matteo Quartagno

Last Published

October 3rd, 2015

Functions in jomo (1.2-1)

jomo1rancon

JM Imputation of clustered data with continuous variables only
jomo1ranconhr

JM Imputation of clustered data with continuous variables only with cluster-specific covariance matrices
jomo1ranmixhr.MCMCchain

JM Imputation of clustered data with mixed variable types with cluster-specific covariance matrices - A tool to check convergence of the MCMC
jomo1ranmixhr

JM Imputation of clustered data with mixed variable types with cluster-specific covariance matrices
jomo1ranconhr.MCMCchain

JM Imputation of clustered data with continuous variables only with cluster-specific covariance matrices - A tool to check convergence of the MCMC
jomo1cat.MCMCchain

JM Imputation of single level data with categorical variables - A tool to check convergence of the MCMC
jomo1ranmix.MCMCchain

JM Imputation of clustered data with mixed variable types - A tool to check convergence of the MCMC
sldata

A simulated single level dataset
jomo1rancat.MCMCchain

JM Imputation of clustered data with categorical variables - A tool to check convergence of the MCMC
jomo1rancon.MCMCchain

JM Imputation of clustered data with continuous variables only - A tool to check convergence of the MCMC
mldata

A simulated multilevel dataset
jomo1ran

JM Imputation of 2-level data
jomo1rancathr

JM Imputation of clustered data with categorical variables with cluster-specific covariance matrices
jomo1mix

JM Imputation of single level data with mixed variable types
jomo1cat

JM Imputation of single level data with categorical variables
jomo-package

A package for Multilevel Joint Modelling Multiple Imputation
jomo1

JM Imputation of single level data
jomo1mix.MCMCchain

JM Imputation of single level data with mixed variable types
jomo1rancathr.MCMCchain

JM Imputation of clustered data with categorical variables with cluster-specific covariance matrices - A tool to check convergence of the MCMC
jomo1ranmix

JM Imputation of clustered data with mixed variable types
jomo1con.MCMCchain

JM Imputation of single level data with continuous variables only - A tool to check convergence of the MCMC
jomo1ran.MCMCchain

JM Imputation of 2-level data - A tool to check convergence of the MCMC
jomo1con

JM Imputation of single level data with continuous variables only
jomo1rancat

JM Imputation of clustered data with categorical variables
jomo1.MCMCchain

JM Imputation of single level data - A tool to check convergence of the MCMC