# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "GenHMM1d" in publications use:' type: software license: GPL-3.0-only title: 'GenHMM1d: Goodness-of-Fit for Zero-Inflated Univariate Hidden Markov Models' version: 0.2.1 doi: 10.32614/CRAN.package.GenHMM1d abstract: Inference, goodness-of-fit tests, and predictions for continuous and discrete univariate Hidden Markov Models (HMM), including zero-inflated distributions. The goodness-of-fit test is based on a Cramer-von Mises statistic and uses parametric bootstrap to estimate the p-value. The description of the methodology is taken from Nasri et al (2020) . authors: - family-names: Nasri given-names: Bouchra R. email: bouchra.nasri@umontreal.ca - family-names: Thioub given-names: Mamadou Yamar - family-names: Remillard given-names: Bruno N. repository: https://bouchranasri.r-universe.dev commit: 450a888ee1734a48b55d829b735fe98097b63817 date-released: '2025-03-13' contact: - family-names: Nasri given-names: Bouchra R. email: bouchra.nasri@umontreal.ca