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actiRhythm: Circadian Rest-Activity Rhythm Analysis

Quantifies the circadian rest-activity rhythm, the roughly 24-hour cycle of activity and rest, from activity counts and raw accelerometer recordings. Analyses run on an activity-count vector and its timestamps, and a built-in reader loads 'ActiGraph' '.agd' files (an 'SQLite' database) directly. Computes nonparametric metrics (interdaily stability (IS) and intradaily variability (IV) following Witting et al. (1990) <doi:10.1016/0006-3223(90)90523-5>; relative amplitude (RA), the least-active 5-hour window (L5), and the most-active 10-hour window (M10) following Van Someren et al. (1999) <doi:10.3109/07420529908998724>), cosinor models with a rhythmicity test, confidence ellipses, population-mean cosinor, and two-group parameter comparison (Cornelissen (2014) <doi:10.1186/1742-4682-11-16>; Marler et al. (2006) <doi:10.1002/sim.2466>), period estimation by Lomb-Scargle (Lomb (1976) <doi:10.1007/BF00648343>; Scargle (1982) <doi:10.1086/160554>) and chi-square (Sokolove and Bushell (1978) <doi:10.1016/0022-5193(78)90022-X>) periodograms with bootstrap confidence intervals and a sliding-window spectrogram, fractal and nonlinear measures (Peng et al. (1994) <doi:10.1103/PhysRevE.49.1685>; Kantelhardt et al. (2002) <doi:10.1016/S0378-4371(02)01383-3>), the Sleep Regularity Index (Phillips et al. (2017) <doi:10.1038/s41598-017-03171-4>), social jet lag, rest-activity state transitions, and locomotor inactivity during sleep (Winnebeck et al. (2018) <doi:10.1016/j.cub.2017.11.063>). It also reads raw accelerometer files ('ActiGraph' '.gt3x', 'Axivity' '.cwa', 'GENEActiv' '.bin'), auto-calibrates them (van Hees et al. (2014) <doi:10.1152/japplphysiol.00421.2014>), and derives the ENMO, MAD, and z-angle metrics with diary-free sleep-period detection (van Hees et al. (2018) <doi:10.1038/s41598-018-31266-z>), cross-checked against 'GGIR'. A batch mode runs the analysis over a folder of files and writes a multi-sheet 'Excel' workbook.

Version: 0.1.0
Depends: R (≥ 4.1)
Imports: DBI, grDevices, ggplot2, Rcpp (≥ 1.0.0), Rdpack, RSQLite, scales, splines, stats, utils
LinkingTo: Rcpp
Suggests: ActCR, agcounts, cosinor, cosinor2, GGIR, GGIRread, knitr, nonlinearTseries, nparACT, openxlsx, pracma, read.gt3x, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-07-29
DOI: 10.32614/CRAN.package.actiRhythm (may not be active yet)
Author: Raymond Dacosta Azadda [aut, cre], CEAL Team [aut], Stacy Rasmus [aut]
Maintainer: Raymond Dacosta Azadda <rdazadda at alaska.edu>
BugReports: https://github.com/rdazadda/actiRhythm/issues
License: MIT + file LICENSE
URL: https://github.com/rdazadda/actiRhythm, https://rdazadda.github.io/actiRhythm/
NeedsCompilation: yes
SystemRequirements: C++17
Language: en-US
Citation: actiRhythm citation info
Materials: README
CRAN checks: actiRhythm results

Documentation:

Reference manual: actiRhythm.html , actiRhythm.pdf
Vignettes: Getting started with actiRhythm (source, R code)
Output codebook (metrics data dictionary) (source, R code)

Downloads:

Package source: actiRhythm_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: actiRhythm_0.1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): actiRhythm_0.1.0.tgz, r-oldrel (arm64): actiRhythm_0.1.0.tgz, r-release (x86_64): actiRhythm_0.1.0.tgz, r-oldrel (x86_64): actiRhythm_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=actiRhythm to link to this page.

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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