c(
person(family = "Miller", given = "Eli", email = "eli.miller@atorusresearch.com", role = "aut", comment = c(ORCID = "0000-0002-2127-9456")),
person(family = "Tarasiewicz", given = "Ashley", email = "Ashley.Tarasiewicz@atorusresearch.com", role = "aut"),
person(family = "Stackhouse", given = "Michael", email = "mike.stackhouse@atorusresearch.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-6030-723X")),
person(given = "Atorus Research LLC", role = "cph")
)
Eli Miller [aut] (<https://orcid.org/0000-0002-2127-9456>),
Ashley Tarasiewicz [aut],
Michael Stackhouse [aut, cre] (<https://orcid.org/0000-0001-6030-723X>),
Atorus Research LLC [cph]

Interface to the 'Pharmpy' 'Pharmacometrics' Library
c(
person("Rikard", "Nordgren", role=c("aut", "cre", "cph"), email="rikard.nordgren@farmaci.uu.se"),
person("Stella", "Belin", role=c("aut", "cph"), email="stella.belin@farmaci.uu.se"),
person("Mats O.", "Karlsson", role=c("sad")),
person("Andrew C.", "Hooker", role=c("sad")),
person("Sebastian", "Ueckert", role=c("sad"), comment=c(ORCID="0000-0002-3712-0255")),
person("Simon", "Carter", role=c("rev")),
person("Simon", "Buatois", role=c("rev")),
person("João A.", "Abrantes", role=c("rev")),
person("F. Hoffmann-La Roche Ltd.", role=c("fnd"))
)
Interface to the 'Pharmpy' 'pharmacometrics' library. The 'Reticulate' package is used to interface Python from R.
list( packages = list( list(package = "altair"),
list(package = "pharmpy-core") ) )
Rikard Nordgren [aut, cre, cph],
Stella Belin [aut, cph],
Mats O. Karlsson [sad],
Andrew C. Hooker [sad],
Sebastian Ueckert [sad] (<https://orcid.org/0000-0002-3712-0255>),
Simon Carter [rev],
Simon Buatois [rev],
João A. Abrantes [rev],
F. Hoffmann-La Roche Ltd. [fnd]

person(given = "Lakshman",
family = "Abhilash",
role = c("aut", "cre"),
email = "labhilash@gc.cuny.edu",
comment = c(ORCID = "https://orcid.org/0000-0002-9933-8989"))
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>.
Lakshman Abhilash [aut, cre] (<https://orcid.org/0000-0002-9933-8989>)
circular, lubridate, plotly, pracma, signal, zeitgebr, zoo,
behavr