<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Circadian Rest-Activity Rhythm Analysis</dc:title>
  <dc:title>R package actiRhythm version 0.1.0</dc:title>
  <dc:description>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) &lt;doi:10.1016/0006-3223(90)90523-5&gt;; relative amplitude (RA), the
    least-active 5-hour window (L5), and the most-active 10-hour window (M10)
    following Van Someren et al. (1999) &lt;doi:10.3109/07420529908998724&gt;),
    cosinor models with a rhythmicity test, confidence ellipses, population-mean
    cosinor, and two-group parameter comparison (Cornelissen
    (2014) &lt;doi:10.1186/1742-4682-11-16&gt;; Marler et al. (2006)
    &lt;doi:10.1002/sim.2466&gt;), period estimation by Lomb-Scargle (Lomb (1976)
    &lt;doi:10.1007/BF00648343&gt;; Scargle (1982) &lt;doi:10.1086/160554&gt;) and chi-square
    (Sokolove and Bushell (1978) &lt;doi:10.1016/0022-5193(78)90022-X&gt;) periodograms
    with bootstrap confidence intervals and a sliding-window spectrogram, fractal
    and nonlinear measures (Peng et al. (1994) &lt;doi:10.1103/PhysRevE.49.1685&gt;;
    Kantelhardt et al. (2002) &lt;doi:10.1016/S0378-4371(02)01383-3&gt;), the Sleep
    Regularity Index (Phillips et al. (2017) &lt;doi:10.1038/s41598-017-03171-4&gt;),
    social jet lag, rest-activity state transitions, and locomotor inactivity
    during sleep (Winnebeck et al. (2018) &lt;doi:10.1016/j.cub.2017.11.063&gt;). It
    also reads raw accelerometer files ('ActiGraph' '.gt3x', 'Axivity' '.cwa',
    'GENEActiv' '.bin'), auto-calibrates them (van Hees et al. (2014)
    &lt;doi:10.1152/japplphysiol.00421.2014&gt;), and derives the ENMO, MAD, and
    z-angle metrics with diary-free sleep-period detection (van Hees et al.
    (2018) &lt;doi:10.1038/s41598-018-31266-z&gt;), cross-checked against 'GGIR'. A batch
    mode runs the analysis over a folder of files and writes a multi-sheet
    'Excel' workbook.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1)</dc:relation>
  <dc:relation>Imports: DBI, grDevices, ggplot2, Rcpp (&gt;= 1.0.0), Rdpack, RSQLite,
scales, splines, stats, utils</dc:relation>
  <dc:relation>LinkingTo: Rcpp</dc:relation>
  <dc:relation>Suggests: ActCR, agcounts, cosinor, cosinor2, GGIR, GGIRread, knitr,
nonlinearTseries, nparACT, openxlsx, pracma, read.gt3x,
rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Raymond Dacosta Azadda &lt;rdazadda@alaska.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Raymond Dacosta Azadda [aut, cre],
  CEAL Team [aut],
  Stacy Rasmus [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=actiRhythm/LICENSE)</dc:rights>
  <dc:date>2026-07-29</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=actiRhythm</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.actiRhythm</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
