c(person("Arnab", "Maity", email = "arnab.maity@pfizer.com", role = c("aut", "cre")),
person("Antik", "Chakraborty", email = "antik.chakraborty@duke.edu", role = "aut"),
person("Anirban", "Bhattacharya", email = "anirbanb@stat.tamu.edu", role = "aut"),
person("Bani", "K. Mallick", email = "bmallick@stat.tamu.edu", role = "aut"),
person("Veerabhadran", "Baladandayuthapani", email = "veerab@umich.edu", role = "aut"))
Description: Provides function for performing Bayesian survival regression using
Horseshoe prior in the accelerated failure time model with log normal assumption
in order to achieve high dimensional pan-cancer variable selection as developed in
Imports: mvtnorm, Matrix, smoothmest, msm

Title: A Semi-Parametric Test for Specifying Functional Form
Author: Toke Emil Panduro <tepp@ifro.ku.dk>, Cathrine Ulla Jensen <cuj@ifro.ku.dk>
Maintainer: Cathrine Ulla Jensen <cuj@ifro.ku.dk>
Description: A central decision in a parametric regression is how to specify the relation between an dependent variable and each explanatory variable. This package provides a semi-parametric tool for comparing different transformations of an  explanatory variables in a parametric regression. The functions is relevant in a situation, where you would use a box-cox or Box-Tidwell transformations.  In contrast to the classic power-transformations, the methods in this package allows for  theoretical driven user input and the possibility to compare with a non-parametric transformation.
Depends: R (>= 3.1.0), mgcv, RColorBrewer, Formula, lasso2

Title: Long Term Prediction for Epidemic and Pandemic Data
Authors@R: c(person("Débora", "de Freitas Magalhães", email = "deborafmag@gmail.com", role = "aut"),
person("Marta Cristina", "Colozza Bianchi da Costa", email = "marta_bianchi@ufg.br", role = "aut"),
person("Guido", "Alberti Moreira", email = "guidoalber@gmail.com", role = c("cre","aut"),comment=c(ORCID="0000-0001-7557-0874")),
person("Thais", "Pacheco Menezes", email = "thaispacheco1207@gmail.com", role = "aut"),
person("Marcos", "Oliveira Prates", email = "marcosop@est.ufmg.br", role = "ctb",comment=c(ORCID="0000-0001-8077-4898")))
Maintainer: Guido Alberti Moreira <guidoalber@gmail.com>
Description: Implementation of the methodology described in <http://est.ufmg.br/covidlp/home/pt/> which can be
also found in help(models). Implemented models are currently the Poisson distribution. The mean function can be the
basic generalized logistic form, or the seasonal effect which has under- or over-reporting effects in up to three
weekdays, or the two curves form. Bayesian inference is made available through the 'stan' software and its diagnostic
functions pool can be used. Plot methods are implemented to mimic the graphics from the 'shiny' app in the URL using
Imports: utils, methods, Rcpp (>= 0.12.0), plotly (>= 4.9.2.1), dplyr
Author: Débora de Freitas Magalhães [aut],
Marta Cristina Colozza Bianchi da Costa [aut],
Marcos Oliveira Prates [ctb] (<https://orcid.org/0000-0001-8077-4898>)