CRAN/E | GaussianHMM1d

GaussianHMM1d

Inference, Goodness-of-Fit and Forecast for Univariate Gaussian Hidden Markov Models

Installation

About

Inference, goodness-of-fit test, and prediction densities and intervals for univariate Gaussian Hidden Markov Models (HMM). The goodness-of-fit 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 Chapter 10.2 of Remillard (2013) doi:10.1201/b14285.

Key Metrics

Version 1.1.1
R ≥ 3.5.0
Published 2023-07-08 286 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks GaussianHMM1d results

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Maintainer

Maintainer

Bouchra R. Nasri

bouchra.nasri@umontreal.ca

Authors

Bouchra R. Nasri

aut / cre / cph

Bruno N Remillard

aut / ctb / 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

Old Sources

GaussianHMM1d archive

Depends

R ≥ 3.5.0
doParallel
parallel
foreach
stats