<?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>Comprehensive Analysis of Latent Means</dc:title>
  <dc:title>R package calms version 1.0-3</dc:title>
  <dc:description>Provides a Shiny application to conduct comprehensive analysis of latent means including the examination of group equivalency, propensity score analysis, 
 measurement invariance analysis, and assessment of latent mean differences of 
 equivalent groups with invariant data. Group equivalency and propensity score analyses are implemented using the 'MatchIt' package [Ho et al. (2011) &lt;doi:10.18637/jss.v042.i08&gt;], 
 ensuring robust control for covariates. Structural equation modeling and invariance testing rely heavily on the 'lavaan' package [Rosseel (2012) &lt;doi:10.18637/jss.v048.i02&gt;], 
 providing a flexible and powerful modeling framework. The application also integrates modified functions from Hammack-Brown et al. (2021) &lt;doi:10.1002/hrdq.21452&gt; 
 to support factor ratio testing and the list-and-delete procedure. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5)</dc:relation>
  <dc:relation>Imports: dplyr,DT,foreign,lavaan,lsr,MatchIt,shiny,shinyjs,stringr,bslib</dc:relation>
  <dc:relation>Suggests: knitr,rmarkdown,rgenoud,Matching</dc:relation>
  <dc:creator>Kim Nimon &lt;kim.nimon@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Kim Nimon [aut, cre],
  Julia Fulmore [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-04-06</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=calms</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.calms</dc:identifier>
</oai_dc:dc>
