Package: GenHMM1d
Type: Package
Title: Goodness-of-Fit for Zero-Inflated Univariate Hidden Markov
        Models
Version: 0.2.8
Authors@R: c(
        person(c("Bouchra","R."), "Nasri", role = c("aut", "cre","cph"), email = "bouchra.nasri@umontreal.ca"),
        person("Mamadou Yamar", "Thioub", role = c("aut","cph")),
        person(c("Bruno","N."), "Remillard", role = c("aut","cph")))
Description: 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)
        <doi:10.1029/2019WR025122>.
License: GPL-3
Encoding: UTF-8
Maintainer: Bouchra R. Nasri <bouchra.nasri@umontreal.ca>
Depends: R (>= 3.5.0), doParallel, parallel, foreach
Imports: ggplot2, stats, matrixcalc, reshape2, rmutil, VaRES, VGAM,
        EnvStats, GLDEX, GeneralizedHyperbolic, actuar, extraDistr,
        sgt, skewt, sn, ssdtools, stabledist
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-10-11 15:42:03 UTC; root
Author: Bouchra R. Nasri [aut, cre, cph], Mamadou Yamar Thioub [aut,
        cph], Bruno N. Remillard [aut, cph]
Config/pak/sysreqs: cmake libicu-dev libx11-dev
Repository: https://bouchranasri.r-universe.dev
Date/Publication: 2026-09-10 15:00:02 UTC
RemoteUrl: https://github.com/cran/GenHMM1d
RemoteRef: HEAD
RemoteSha: 2e6e783df8aac7e16707fd4fb5f79917f2d37872