CRAN/E | GenHMM1d

GenHMM1d

Goodness-of-Fit for Univariate Hidden Markov Models

Installation

About

Inference, goodness-of-fit tests, and predictions for continuous and discrete univariate Hidden Markov Models (HMM). 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.

Key Metrics

Version 0.1.0
Published 2021-01-21 1188 days ago
Needs compilation? no
License GPL-3
CRAN checks GenHMM1d results

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Maintainer

Maintainer

Bouchra R. Nasri

bouchra.nasri@umontreal.ca

Authors

Bouchra R. Nasri

aut / cre / cph

Mamadou Yamar Thioub

aut / cph

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

doParallel
foreach
stats

Imports

actuar
EnvStats
extraDistr
ggplot2
matrixcalc
parallel
reshape2
rmutil
ssdtools
VaRES
VGAM

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