c(person("Karline","Soetaert", role = c("aut","cre"),
email = "karline.soetaert@nioz.nl"),
person("Jeff","Cash", role = "aut",
email = "j.cash@imperial.ac.uk"),
person("Francesca","Mazzia", role = "aut",
email = "mazzia@dm.uniba.it"),
person("Uri M.","Ascher", role = "ctb",
comment = "files colsysR.f, colnewR.f, coldaeR.f"),
person("G.","Bader", role = "ctb",
comment = "file colnewR.f"),
person("J.","Christiansen", role = "ctb",
comment = "file colsysR.f"),
person("Robert R.","Russell", role = "ctb",
comment = "file colsysR.f"))
Karline Soetaert [aut, cre],
Jeff Cash [aut],
Francesca Mazzia [aut],
Uri M. Ascher [ctb] (files colsysR.f, colnewR.f, coldaeR.f),
G. Bader [ctb] (file colnewR.f),
J. Christiansen [ctb] (file colsysR.f),
Robert R. Russell [ctb] (file colsysR.f)

Dynamic Body Weight Models for Children and Adults
Implementation of the dynamic weight change models for adults from "The Dynamics of Human Body Weight Change" by CC. Chow and KD. Hall (2008) <doi:10.1371/journal.pcbi.1000045>. As well as the children weight change model from "Dynamics of childhood growth and obesity: development and validation of a quantitative mathematical model" by KD. Hall, NF. Butte, BA. Swinburn, and CC. Chow (2013) <doi:10.1016/S2213-8587(13)70051-2>. These model the physiological processes related to weight change in each individual by considering each of the biological processes involved. This package was developed under funding by Bloomberg Philanthropies.
c(person("Dalia", "Camacho-García-Formentí", email = "daliaf172@gmail.com", role = c("aut","cre")), person("Rodrigo", "Zepeda-Tello", email = "rzepeda17@gmail.com", role = c("aut")))
Rcpp, compiler, ggplot2, gridExtra, reshape2, survey, utils
Dalia Camacho-García-Formentí [aut, cre],
Rodrigo Zepeda-Tello [aut]

Backward Procedure for Change-Point Detection
c(person("Seung Jun", "Shin", email = "sjshin@korea.ac.kr", role = c("aut","cre")),person("Yichao", "Wu", email = "yichaowu@uic.edu", role = c("aut")),person("Ning", "Hao", email = "nhao@math.arizona.edu", role = c("aut")))
Implements a backward procedure for single and multiple change point detection proposed by Shin et al. <arXiv:1812.10107>. The backward approach is particularly useful to detect short and sparse signals which is common in copy number variation (CNV) detection.
Seung Jun Shin [aut, cre],
Yichao Wu [aut],
Ning Hao [aut]