mziln: Regression for Compositional Data with Zero Values

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", <doi:10.1007/s12561-018-9219-2>.

Version:	1.0
Depends:	R (≥ 4.0)
Imports:	rangen, Rfast, stats
Suggests:	Compositional, Rfast2
Published:	2026-08-30
DOI:	10.32614/CRAN.package.mziln (may not be active yet)
Author:	Michail Tsagris [aut, cre]
Maintainer:	Michail Tsagris <mtsagris at uoc.gr>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	mziln results

Documentation:

Reference manual:

mziln.html , mziln.pdf

Downloads:

Package source:	mziln_1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): mziln_1.0.tgz, r-oldrel (arm64): mziln_1.0.tgz, r-release (x86_64): mziln_1.0.tgz, r-oldrel (x86_64): mziln_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mziln to link to this page.