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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | mziln_1.0.tar.gz |
22.3 KiB |
1.0 |
rolling linux/noble R-4.5 | mziln_1.0.tar.gz |
22.3 KiB |
1.0 |
rolling source/ R- | mziln_1.0.tar.gz |
3.4 KiB |
1.0 |
latest linux/jammy R-4.5 | mziln_1.0.tar.gz |
22.3 KiB |
1.0 |
latest linux/noble R-4.5 | mziln_1.0.tar.gz |
22.3 KiB |
1.0 |
latest source/ R- | mziln_1.0.tar.gz |
3.4 KiB |
1.0 |
2026-04-23 source/ R- | mziln_1.0.tar.gz |
0 B |