# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "evmissing" in publications use:' type: software license: GPL-3.0-or-later title: 'evmissing: Extreme Value Analyses with Missing Data' version: 1.0.2 doi: 10.32614/CRAN.package.evmissing abstract: Performs likelihood-based extreme value inferences with adjustment for the presence of missing values based on Simpson and Northrop (2026) . A Generalised Extreme Value distribution is fitted to block maxima using maximum likelihood estimation, with the location and scale parameters reflecting the numbers of non-missing raw values in each block. A Bayesian version is also provided. For the purposes of comparison, there are options to make no adjustment for missing values or to discard any block maximum for which greater than a percentage of the underlying raw values are missing. Example datasets containing missing values are provided. authors: - family-names: Northrop given-names: Paul J. email: p.northrop@ucl.ac.uk - family-names: Simpson given-names: Emma S. repository: https://paulnorthrop.r-universe.dev repository-code: https://github.com/paulnorthrop/evmissing commit: 9ac7ee6ac388485a9f702f832e31e8276446c0e8 url: https://paulnorthrop.github.io/evmissing/ date-released: '2026-03-05' contact: - family-names: Northrop given-names: Paul J. email: p.northrop@ucl.ac.uk