checkmate, gtools, rvest, xml2, jsonlite, RCurl, rlang,
magrittr, lubridate, stringr, tidyr (>= 1.0.0), purrr (>
0.2.2), dplyr (> 0.5.0), ggplot2

checkmate, gtools, rvest, xml2, jsonlite, RCurl, rlang,
magrittr, lubridate, stringr, tidyr (>= 1.0.0), purrr (>
0.2.2), dplyr (> 0.5.0), ggplot2, tibble (>= 3.0.0)

Coalition Probabilities in Multi-Party Democracies
c(
person("Andreas", "Bender", , "andreas.bender@stat.uni-muenchen.de", role = c("aut", "cre"), comment=c(ORCID = "0000-0001-5628-8611")),
person("Alexander", "Bauer", , "alexander.bauer@stat.uni-muenchen.de", role=c("aut"), comment=c(ORCID = "0000-0003-3495-5131"))
)
An implementation of a MCMC method to calculate
probabilities for a coalition majority based on survey results,
see Bender and Bauer (2018) <doi:10.21105/joss.00606>.
checkmate, gtools, rvest, xml2, jsonlite, RCurl, reshape2,
rlang, magrittr, lubridate, forcats, stringr, tidyr, purrr (>
0.2.2), dplyr (> 0.5.0),
ggplot2, testthat, covr, knitr, rmarkdown

c(
person("Andreas", "Bender", , "bender.at.R@gmail.com", role = c("aut", "cre"), comment=c(ORCID = "0000-0001-5628-8611")),
person("Alexander", "Bauer", , "alexander.bauer@stat.uni-muenchen.de", role=c("aut"), comment=c(ORCID = "0000-0003-3495-5131")),
person("Rebekka", "Schade", , "rebekka.schade@stablab.stat.uni-muenchen.de", role=c("ctb")))
Andreas Bender [aut, cre] (<https://orcid.org/0000-0001-5628-8611>),
Alexander Bauer [aut] (<https://orcid.org/0000-0003-3495-5131>),
Rebekka Schade [ctb]

A collection of functions to help with analysis of coarse
infectious disease data
This package contains functions to analyze coarse data.
Its development was motivated by applications to infectious
disease: in particular, problems with estimating the incubation
period and the case fatality ratio of a given disease.  Sample
data files are included in the package.

Nicholas G. Reich <nick.reich@gmail.com>, Justin Lessler
<jlessler@jhsph.edu>

A collection of functions to help with analysis of coarsely
observed data
Nicholas G. Reich <nick@schoolph.umass.edu>, Justin Lessler
<jlessler@jhsph.edu>, Andrew Azman <andrewazman@gmail.com>
This package contains functions to analyze coarse data.
Specifically, it contains functions to (1) fit parametric accelerated
failure time models to interval-censored survival time data, and (2)
estimate the case-fatality ratio in scenarios with under-reporting.
This package's development was motivated by applications to infectious
disease: in particular, problems with estimating the incubation period and
the case fatality ratio of a given disease.  Sample data files are included
in the package.
'CFR_estimation.R' 'dic.fit.mcmc.R' 'dic.fit.R'
'get.obs.type.R' 'S4stuff.R' 'sampleSizeSimulation.R'
'coarseDataTools-package.R'