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: | 0.3.3 |
Depends: | R (≥ 3.00), behavr |
Imports: | data.table, lomb, pracma |
Suggests: | testthat, covr, knitr, ggetho, damr |
Published: | 2018-06-23 |
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 |
Reference manual: | zeitgebr.pdf |
Package source: | zeitgebr_0.3.3.tar.gz |
Windows binaries: | r-devel: zeitgebr_0.3.3.zip, r-release: zeitgebr_0.3.3.zip, r-oldrel: zeitgebr_0.3.3.zip |
OS X binaries: | r-release: zeitgebr_0.3.3.tgz, r-oldrel: zeitgebr_0.3.3.tgz |
Old sources: | zeitgebr archive |
Reverse suggests: | damr, ggetho, scopr |
Please use the canonical form https://CRAN.R-project.org/package=zeitgebr to link to this page.