# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "primarycensored" in publications use:' type: software license: MIT title: 'primarycensored: Primary Event Censored Distributions' version: 1.0.0 doi: 10.5281/zenodo.13632839 identifiers: - type: doi value: 10.32614/CRAN.package.primarycensored - type: url value: https://github.com/epinowcast/primarycensored/ abstract: 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) ). 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) ). 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. authors: - family-names: Abbott given-names: Sam email: contact@samabbott.co.uk orcid: https://orcid.org/0000-0001-8057-8037 - family-names: Brand given-names: Sam email: usi1@cdc.gov orcid: https://orcid.org/0000-0003-0645-5367 preferred-citation: type: manual title: 'primarycensored: Primary Event Censored Distributions' authors: - family-names: Abbott given-names: Sam email: contact@samabbott.co.uk orcid: https://orcid.org/0000-0001-8057-8037 - family-names: Brand given-names: Sam email: usi1@cdc.gov orcid: https://orcid.org/0000-0003-0645-5367 year: '2024' doi: 10.5281/zenodo.13632839 repository: https://CRAN.R-project.org/package=primarycensored repository-code: https://github.com/epinowcast/primarycensored url: https://primarycensored.epinowcast.org date-released: '2024-10-28' contact: - family-names: Abbott given-names: Sam email: contact@samabbott.co.uk orcid: https://orcid.org/0000-0001-8057-8037