Package: GenHMM1d
Type: Package
Title: Goodness-of-Fit for Zero-Inflated Univariate Hidden Markov
        Models
Version: 0.2.1
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>
RoxygenNote: 7.3.2
Depends: R (>= 3.5.0), doParallel, parallel, foreach
Imports: ggplot2, stats, matrixcalc, reshape2, rmutil, VaRES, VGAM,
        EnvStats, GLDEX, GeneralizedHyperbolic, actuar, extraDistr,
        gamlss.dist, sgt, skewt, sn, ssdtools, stabledist
NeedsCompilation: no
Packaged: 2025-03-11 09:43:46 UTC; 49009427
Author: Bouchra R. Nasri [aut, cre, cph],
  Mamadou Yamar Thioub [aut, cph],
  Bruno N. Remillard [aut, cph]
Repository: CRAN
Date/Publication: 2025-03-13 12:20:02 UTC
Built: R 4.3.3; ; 2025-03-13 14:25:42 UTC; unix
