Package: mziln 1.0
Michail Tsagris
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>.
Authors:
mziln_1.0.tar.gz
mziln_1.0.zip(r-4.7-any)mziln_1.0.zip(r-4.6-any)
mziln_1.0.tar.gz(r-4.7-any)mziln_1.0.tar.gz(r-4.6-any)
mziln_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mziln/json (API)
| # Install 'mziln' in R: |
| install.packages('mziln', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:4eab4bcaa4. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 162 | ||
| source / vignettes | OK | 227 | ||
| linux-release | OK | 174 | ||
| windows-devel | OK | 94 | ||
| windows-release | OK | 99 | ||
| wasm-release | OK | 143 |
Exports:boot.mzilnmziln
Dependencies:rangenRcppRcppArmadilloRcppParallelRfastzigg
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Regression for Compositional Data with Zero Values | mziln-package |
| Bootstrap for the MZILN regression model | boot.mziln |
| Multivariate zero inflated logistic normal regression | mziln |