<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Multilevel Joint Modelling Multiple Imputation</dc:title>
  <dc:title>R package jomo version 2.7-6</dc:title>
  <dc:subject>CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData)</dc:subject>
  <dc:description>Similarly to package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation (Carpenter and Kenward, 2013) &lt;doi:10.1002/9781119942283&gt;.
 Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats, lme4, survival, MASS, ordinal, tibble</dc:relation>
  <dc:relation>Suggests: mitml</dc:relation>
  <dc:creator>Matteo Quartagno &lt;m.quartagno@ucl.ac.uk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Matteo Quartagno, James Carpenter</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2023-04-15</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=jomo</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.jomo</dc:identifier>
</oai_dc:dc>