<?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>Regression for Compositional Data with Zero Values</dc:title>
  <dc:title>R package mziln version 1.0</dc:title>
  <dc:description>A multivariate zero inflated logistic normal regression model is implemented for compositional data with zero values present. The relevant paper is Li Z., Lee K., Karagas M. R., Madan J. C., Hoen A. G., O'Malley A. J. and Li H. (2018). "Conditional regression based on a multivariate zero-inflated logistic-normal model for microbiome relative abundance data", &lt;doi:10.1007/s12561-018-9219-2&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0)</dc:relation>
  <dc:relation>Imports: rangen, Rfast, stats</dc:relation>
  <dc:relation>Suggests: Compositional, Rfast2</dc:relation>
  <dc:creator>Michail Tsagris &lt;mtsagris@uoc.gr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Michail Tsagris [aut, cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-08-30</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=mziln</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.mziln</dc:identifier>
</oai_dc:dc>