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>.

Version:	1.0.0
Depends:	R (≥ 4.1.0)
Imports:	stats, graphics
Suggests:	testthat (≥ 3.0.0), glmmTMB, nlme, mgcv, survival, coxme, brms
Published:	2026-09-22
DOI:	10.32614/CRAN.package.BioMixModel (may not be active yet)
Author:	Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer:	Vinodhkumar Obli Rajendran <vinodhkumar.rajendran at gmail.com>
BugReports:	https://github.com/vinodhpmd/BioMixModel/issues
License:	MIT + file LICENSE
URL:	https://github.com/vinodhpmd/BioMixModel
NeedsCompilation:	no
Language:	en-US
Materials:	README
CRAN checks:	BioMixModel results

Documentation:

Reference manual:

BioMixModel.html , BioMixModel.pdf

Downloads:

Package source:	BioMixModel_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: BioMixModel_1.0.0.zip
macOS binaries:	r-release (arm64): BioMixModel_1.0.0.tgz, r-oldrel (arm64): BioMixModel_1.0.0.tgz, r-release (x86_64): BioMixModel_1.0.0.tgz, r-oldrel (x86_64): BioMixModel_1.0.0.tgz

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