Package: phase
Title: Analyse Biological Time-Series Data
Version: 1.2.9
Author: Lakshman Abhilash [aut, cre]
        (<https://orcid.org/0000-0002-9933-8989>)
Maintainer: Lakshman Abhilash <labhilash@gc.cuny.edu>
Authors@R: 
    person(given = "Lakshman",
           family = "Abhilash",
           role = c("aut", "cre"),
           email = "labhilash@gc.cuny.edu",
           comment = c(ORCID = "https://orcid.org/0000-0002-9933-8989"))
Description: Compiles functions to trim, bin, visualise, and analyse
        activity/sleep time-series data collected from the Drosophila
        Activity Monitor (DAM) system (Trikinetics, USA). The following
        methods were used to compute periodograms - Chi-square
        periodogram: Sokolove and Bushell (1978)
        <doi:10.1016/0022-5193(78)90022-X>, Lomb-Scargle periodogram:
        Lomb (1976) <doi:10.1007/BF00648343>, Scargle (1982)
        <doi:10.1086/160554> and Ruf (1999)
        <doi:10.1076/brhm.30.2.178.1422>, and Autocorrelation:
        Eijzenbach et al. (1986)
        <doi:10.1111/j.1440-1681.1986.tb00943.x>. Identification of
        activity peaks is done after using a Savitzky-Golay filter
        (Savitzky and Golay (1964) <doi:10.1021/ac60214a047>) to smooth
        raw activity data. Three methods to estimate anticipation of
        activity are used based on the following papers - Slope method:
        Fernandez et al. (2020) <doi:10.1016/j.cub.2020.04.025>,
        Harrisingh method: Harrisingh et al. (2007)
        <doi:10.1523/JNEUROSCI.3680-07.2007>, and Stoleru method:
        Stoleru et al. (2004) <doi:10.1038/nature02926>. Rose plots and
        circular analysis are based on methods from - Batschelet (1981)
        <ISBN:0120810506> and Zar (2010) <ISBN:0321656865>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.1
NeedsCompilation: no
Packaged: 2026-07-14 04:44:18 UTC; root
Imports: circular, lubridate, plotly, pracma, signal, zeitgebr, zoo,
        behavr, wesanderson, shiny, shinythemes, shinydashboard,
        shinycssloaders, shinyFiles
Depends: R (>= 2.10)
Repository: https://cran.r-universe.dev
Date/Publication: 2023-03-08 23:20:02 UTC
RemoteUrl: https://github.com/cran/phase
RemoteRef: HEAD
RemoteSha: d8bba13e3602e2435298e17d65e200e2d4406990