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GLMMcosinor: Fit a Cosinor Model Using a Generalized Mixed Modeling Framework

Allows users to fit a cosinor model using the 'glmmTMB' framework. This extends on existing cosinor modeling packages, including 'cosinor' and 'circacompare', by including a wide range of available link functions and the capability to fit mixed models. The cosinor model is described by Cornelissen (2014) <doi:10.1186/1742-4682-11-16>.

Version: 0.2.1
Depends: R (≥ 4.1.0)
Imports: assertthat, cowplot, ggforce, ggplot2, glmmTMB, lme4, rlang, scales, stats
Suggests: cosinor, covr, DHARMa, dplyr, DT, flextable, ftExtra, knitr, rmarkdown, testthat (≥ 3.0.0), vdiffr, withr
Published: 2024-11-01
DOI: 10.32614/CRAN.package.GLMMcosinor
Author: Rex Parsons ORCID iD [aut, cre], Oliver Jayasinghe [aut], Nicole White ORCID iD [aut], Oliver Rawashdeh ORCID iD [aut, fnd], Prasad Chunduri ORCID iD [ctb, fnd], Margaret Doyle [ctb], Michael Sachs ORCID iD [rev], Joaquin Cavieres ORCID iD [rev]
Maintainer: Rex Parsons <rex.parsons94 at gmail.com>
BugReports: https://github.com/ropensci/GLMMcosinor/issues
License: GPL (≥ 3)
URL: https://github.com/ropensci/GLMMcosinor, https://docs.ropensci.org/GLMMcosinor/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: GLMMcosinor results

Documentation:

Reference manual: GLMMcosinor.pdf
Vignettes: GLMMcosinor (source, R code)
data-simulations (source, R code)
mixed-models (source, R code)
model-specification (source, R code)
model-visualisations (source, R code)
multiple-components (source, R code)

Downloads:

Package source: GLMMcosinor_0.2.1.tar.gz
Windows binaries: r-devel: GLMMcosinor_0.2.1.zip, r-release: GLMMcosinor_0.2.1.zip, r-oldrel: GLMMcosinor_0.2.1.zip
macOS binaries: r-release (arm64): GLMMcosinor_0.2.1.tgz, r-oldrel (arm64): GLMMcosinor_0.2.1.tgz, r-release (x86_64): GLMMcosinor_0.2.1.tgz, r-oldrel (x86_64): GLMMcosinor_0.2.1.tgz
Old sources: GLMMcosinor archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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