codalm
Transformation-Free Linear Regression for Compositional Outcomes and Predictors
Implements the expectation-maximization (EM) algorithm as described in Fiksel et al. (2022) <doi:10.1111/biom.13465> for transformation-free linear regression for compositional outcomes and predictors.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | codalm_0.1.3.tar.gz |
34.0 KiB |
0.1.3 |
rolling linux/noble R-4.5 | codalm_0.1.3.tar.gz |
33.9 KiB |
0.1.3 |
rolling source/ R- | codalm_0.1.3.tar.gz |
12.6 KiB |
0.1.3 |
latest linux/jammy R-4.5 | codalm_0.1.3.tar.gz |
34.0 KiB |
0.1.3 |
latest linux/noble R-4.5 | codalm_0.1.3.tar.gz |
33.9 KiB |
0.1.3 |
latest source/ R- | codalm_0.1.3.tar.gz |
12.6 KiB |
0.1.3 |
2026-04-26 source/ R- | codalm_0.1.3.tar.gz |
12.6 KiB |
0.1.3 |
2026-04-23 source/ R- | codalm_0.1.3.tar.gz |
12.6 KiB |
0.1.3 |
2026-04-09 windows/windows R-4.5 | codalm_0.1.3.zip |
38.3 KiB |
0.1.2 |
2025-04-20 source/ R- | codalm_0.1.2.tar.gz |
14.4 KiB |