Imports: checkmate, gtools, rvest, xml2, jsonlite, RCurl, rlang,
magrittr, lubridate, stringr, tidyr (>= 1.0.0), purrr (>

Title: Coalition Probabilities in Multi-Party Democracies
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"))
Description: An implementation of a MCMC method to calculate
probabilities for a coalition majority based on survey results,
Suggests: ggplot2, testthat, covr, knitr, rmarkdown

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")))

Title: A collection of functions to help with analysis of coarse
Author: Nicholas G. Reich <nick.reich@gmail.com>
Description: 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

Author: Nicholas G. Reich <nick.reich@gmail.com>, Justin Lessler

Title: A collection of functions to help with analysis of coarsely
Author: Nicholas G. Reich <nick@schoolph.umass.edu>, Justin Lessler
Imports: MCMCpack, graphics, stats, methods
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

Title: A Collection of Functions to Help with Analysis of Coarsely
Description: Functions to analyze coarse data.

Title: Analysis of Coarsely Observed Data
Authors@R: c(person("Nicholas G.", "Reich", email = "nick@schoolph.umass.edu", role = c("aut", "cre")),
person("Justin", "Lessler", email = "jlessler@jhsph.edu", role = "aut"),
person("Andrew", "Azman", email = "andrewazman@gmail.com", role = "aut"),
person("Zhian N.", "Kamvar", email = "zkamvar@gmail.com", role = "ctb"))
in the package. See Reich et al. (2009) <doi:10.1002/sim.3659>,