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zeitgebr: Analysis of Circadian Behaviours

Use behavioural variables to compute period, rhythmicity and other circadian parameters. Methods include computation of chi square periodograms (Sokolove and Bushell (1978) <doi:10.1016/0022-5193(78)90022-X>), Lomb-Scargle periodograms (Lomb (1976) <doi:10.1007/BF00648343>, Scargle (1982) <doi:10.1086/160554>, Ruf (1999) <doi:10.1076/brhm.30.2.178.1422>), and autocorrelation-based periodograms.

Version: 0.3.5
Depends: R (≥ 3.00), behavr
Imports: data.table, lomb, pracma, WaveletComp
Suggests: testthat, covr, knitr, ggetho, damr, xsp
Published: 2020-04-25
DOI: 10.32614/CRAN.package.zeitgebr
Author: Quentin Geissmann [aut, cre], Luis Garcia [aut]
Maintainer: Quentin Geissmann <qgeissmann at gmail.com>
BugReports: https://github.com/rethomics/zeitgebr/issues
License: GPL-3
URL: https://github.com/rethomics/zeitgebr
NeedsCompilation: no
Materials: README
CRAN checks: zeitgebr results

Documentation:

Reference manual: zeitgebr.pdf

Downloads:

Package source: zeitgebr_0.3.5.tar.gz
Windows binaries: r-devel: zeitgebr_0.3.5.zip, r-release: zeitgebr_0.3.5.zip, r-oldrel: zeitgebr_0.3.5.zip
macOS binaries: r-release (arm64): zeitgebr_0.3.5.tgz, r-oldrel (arm64): zeitgebr_0.3.5.tgz, r-release (x86_64): zeitgebr_0.3.5.tgz, r-oldrel (x86_64): zeitgebr_0.3.5.tgz
Old sources: zeitgebr archive

Reverse dependencies:

Reverse imports: phase
Reverse suggests: damr, ggetho

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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