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 |
| 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 |
| Reference manual: | mziln.html , mziln.pdf |
| Package source: | mziln_1.0.tar.gz |
| Windows binaries: | r-devel: mziln_1.0.zip, r-release: mziln_1.0.zip, r-oldrel: mziln_1.0.zip |
| 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 |
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