multilevelcoda
Estimate Bayesian Multilevel Models for Compositional Data
Implement Bayesian multilevel modelling for compositional data. Compute multilevel compositional data and perform log-ratio transforms at between and within-person levels, fit Bayesian multilevel models for compositional predictors and outcomes, and run post-hoc analyses such as isotemporal substitution models. References: Le, Stanford, Dumuid, and Wiley (2025) <doi:10.1037/met0000750>, Le, Dumuid, Stanford, and Wiley (2025) <doi:10.1080/00273171.2025.2565598>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.3 |
rolling linux/jammy R-4.5 | multilevelcoda_1.3.3.tar.gz |
4.1 MiB |
1.3.3 |
rolling linux/noble R-4.5 | multilevelcoda_1.3.3.tar.gz |
4.1 MiB |
1.3.3 |
rolling source/ R- | multilevelcoda_1.3.3.tar.gz |
4.3 MiB |
1.3.3 |
latest linux/jammy R-4.5 | multilevelcoda_1.3.3.tar.gz |
4.1 MiB |
1.3.3 |
latest linux/noble R-4.5 | multilevelcoda_1.3.3.tar.gz |
4.1 MiB |
1.3.3 |
latest source/ R- | multilevelcoda_1.3.3.tar.gz |
4.3 MiB |
1.3.3 |
2026-04-26 source/ R- | multilevelcoda_1.3.3.tar.gz |
4.3 MiB |
1.3.3 |
2026-04-23 source/ R- | multilevelcoda_1.3.3.tar.gz |
4.3 MiB |
1.3.3 |
2026-04-09 windows/windows R-4.5 | multilevelcoda_1.3.3.zip |
4.1 MiB |
1.3.1 |
2025-04-20 source/ R- | multilevelcoda_1.3.1.tar.gz |
4.3 MiB |