GLMMcosinor: A package for fitting generalized linear mixed-effects models with cosinor terms

To learn more about how to use GLMMcosinor, see the vignettes at the website or using the following code:

browseVignettes(package = "GLMMcosinor")

This package provides functions for fitting generalized linear mixed-effects models with cosinor terms. Cosinor terms can be used to model periodic variations in time series data, and are particularly useful in chronobiology and sleep research. The package uses the flexible glmmTMB framework that allows users to specify a wide range of data families, and provides tools for visualization.

See also

Useful links:

• https://github.com/ropensci/GLMMcosinor

• https://docs.ropensci.org/GLMMcosinor/

• Report bugs at https://github.com/ropensci/GLMMcosinor/issues

Author

Maintainer: Rex Parsons rex.parsons94@gmail.com (ORCID)

Authors:

• Oliver Jayasinghe

• Nicole White (ORCID)

• Oliver Rawashdeh (ORCID) [funder]

Other contributors:

• Prasad Chunduri (ORCID) [contributor, funder]

• Margaret Doyle [contributor]

• Michael Sachs (ORCID) [reviewer]

• Joaquin Cavieres (ORCID) [reviewer]