Package: primarycensored
Title: Primary Event Censored Distributions
Version: 1.5.1
Authors@R: 
  c(person(given = "Sam",
           family = "Abbott",
           role = c("aut", "cre", "cph"),
           email = "contact@samabbott.co.uk",
           comment = c(ORCID = "0000-0001-8057-8037")),
    person(given = "Sam",
           family = "Brand",
           role = c("aut"),
           email = "usi1@cdc.gov",
           comment = c(ORCID = "0000-0003-0645-5367")),
    person(given = "Adam",
           family = "Howes",
           role = c("ctb"),
           email = "adamthowes@gmail.com",
           comment = c(ORCID = "0000-0003-2386-4031")),
    person(given = "James Mba",
           family = "Azam",
           role = c("aut"),
           email = "james.azam@lshtm.ac.uk",
           comment = c(ORCID = "0000-0001-5782-7330")),
    person(given = "Carl",
           family = "Pearson",
           role = c("aut"),
           email = "carl.ab.pearson@gmail.com",
           comment = c(ORCID = "0000-0003-0701-7860")),
    person(given = "Sebastian",
           family = "Funk",
           role = c("aut"),
           email = "sebastian.funk@lshtm.ac.uk",
           comment = c(ORCID = "0000-0002-2842-3406")),
    person(given = "Kelly",
           family = "Charniga",
           role = c("aut"),
           email = " kelly.charniga@gmail.com",
           comment = c(ORCID = "0000-0002-7648-7041")))
Description: Provides functions for working with primary event censored
        distributions and 'Stan' implementations for use in Bayesian
        modeling. Primary event censored distributions are useful for
        modeling delayed reporting scenarios in epidemiology and other
        fields (Charniga et al. (2024)
        <doi:10.48550/arXiv.2405.08841>). It also provides support for
        arbitrary delay distributions, a range of common primary
        distributions, and allows for truncation and secondary event
        censoring to be accounted for (Park et al. (2024)
        <doi:10.1101/2024.01.12.24301247>). A subset of common
        distributions also have analytical solutions implemented,
        allowing for faster computation. In addition, it provides
        multiple methods for fitting primary event censored
        distributions to data via optional dependencies.
License: MIT + file LICENSE
URL: https://primarycensored.epinowcast.org,
        https://github.com/epinowcast/primarycensored
BugReports: https://github.com/epinowcast/primarycensored/issues
Depends: R (>= 4.0.0)
Suggests: bookdown, cmdstanr, dplyr, fitdistrplus, knitr, ggplot2,
        rmarkdown, spelling, testthat (>= 3.1.9), usethis, withr
Additional_repositories: https://stan-dev.r-universe.dev
Config/Needs/hexsticker: hexSticker, sysfonts, ggplot2
Config/Needs/website: r-lib/pkgdown, epinowcast/enwtheme
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-GB
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Repository: https://epinowcast.r-universe.dev
Date/Publication: 2026-06-09 16:22:46 UTC
RemoteUrl: https://github.com/epinowcast/primarycensored
RemoteRef: v1.5.1
RemoteSha: 25316493fdecd798f47e53f0ef513d3aa01d685a
NeedsCompilation: no
Packaged: 2026-06-15 16:06:04 UTC; root
Author: Sam Abbott [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-8057-8037>),
  Sam Brand [aut] (ORCID: <https://orcid.org/0000-0003-0645-5367>),
  Adam Howes [ctb] (ORCID: <https://orcid.org/0000-0003-2386-4031>),
  James Mba Azam [aut] (ORCID: <https://orcid.org/0000-0001-5782-7330>),
  Carl Pearson [aut] (ORCID: <https://orcid.org/0000-0003-0701-7860>),
  Sebastian Funk [aut] (ORCID: <https://orcid.org/0000-0002-2842-3406>),
  Kelly Charniga [aut] (ORCID: <https://orcid.org/0000-0002-7648-7041>)
Maintainer: Sam Abbott <contact@samabbott.co.uk>