BioMixModel
Mixed Models for Biological, Clustered and Longitudinal Data
Fits and interprets mixed-effects models for clustered, longitudinal and heterogeneous biological data. Provides variance partitioning, intraclass correlation, penalized likelihood summaries, a heterogeneous-data information criterion, model comparison, diagnostics, and ensemble-style summaries for multilevel data. The package is designed as a complementary, interpretable workflow around established mixed-model methods. Methods for intraclass correlation and variance partitioning are informed by Nakagawa and Schielzeth (2010) <doi:10.1111/j.1469-185X.2010.00141.x> and Nakagawa et al. (2017) <doi:10.1098/rsif.2017.0213>. Mixed-effects modeling approaches are described by Zuur et al. (2009) <doi:10.1007/978-0-387-87458-6>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | BioMixModel_1.0.0.tar.gz |
59.3 KiB |
1.0.0 |
rolling linux/noble R-4.5 | BioMixModel_1.0.0.tar.gz |
59.2 KiB |
1.0.0 |
rolling source/ R- | BioMixModel_1.0.0.tar.gz |
16.5 KiB |
1.0.0 |
latest linux/jammy R-4.5 | BioMixModel_1.0.0.tar.gz |
59.3 KiB |
1.0.0 |
latest linux/noble R-4.5 | BioMixModel_1.0.0.tar.gz |
59.2 KiB |
1.0.0 |
latest source/ R- | BioMixModel_1.0.0.tar.gz |
16.5 KiB |
1.0.0 |
2026-04-23 source/ R- | BioMixModel_1.0.0.tar.gz |
0 B |