Package: GaussianHMM1d 1.1.2

GaussianHMM1d: Inference, Goodness-of-Fit and Forecast for Univariate Gaussian Hidden Markov Models

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>.

Authors:Bouchra R. Nasri [aut, cre, cph], Bruno N Remillard [aut, ctb, cph]

GaussianHMM1d_1.1.2.tar.gz
GaussianHMM1d_1.1.2.zip(r-4.7-x86_64)GaussianHMM1d_1.1.2.zip(r-4.7-arm64)GaussianHMM1d_1.1.2.zip(r-4.6-x86_64)GaussianHMM1d_1.1.2.zip(r-4.6-arm64)GaussianHMM1d_1.1.2.zip(r-4.5-x86_64)
GaussianHMM1d_1.1.2.tgz(r-4.6-x86_64)GaussianHMM1d_1.1.2.tgz(r-4.6-arm64)GaussianHMM1d_1.1.2.tgz(r-4.5-x86_64)GaussianHMM1d_1.1.2.tgz(r-4.5-arm64)
GaussianHMM1d_1.1.2.tar.gz(r-4.7-arm64)GaussianHMM1d_1.1.2.tar.gz(r-4.7-x86_64)GaussianHMM1d_1.1.2.tar.gz(r-4.6-arm64)GaussianHMM1d_1.1.2.tar.gz(r-4.6-x86_64)
GaussianHMM1d_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GaussianHMM1d/json (API)

# Install 'GaussianHMM1d' in R:
install.packages('GaussianHMM1d', repos = c('https://bouchranasri.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.08 score 12 scripts 335 downloads 13 exports 4 dependencies

Last updated from:d81cfac768. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK114
linux-devel-x86_64OK105
source / vignettesOK131
linux-release-arm64OK94
linux-release-x86_64OK103
macos-release-arm64OK164
macos-release-x86_64OK236
macos-oldrel-arm64OK177
macos-oldrel-x86_64OK251
windows-devel-arm64OK298
windows-devel-x86_64OK96
windows-release-arm64OK299
windows-release-x86_64OK60
windows-oldrel-x86_64OK53
wasm-releaseOK74

Exports:bootstrapfunEstHMM1dEstRegimeForecastHMMetaForecastHMMPdfGaussianMixtureCdfGaussianMixtureInvGaussianMixturePdfGofHMM1dSim.HMM.Gaussian.1dSim.Markov.ChainSimHMMGaussianInvSn

Dependencies:codetoolsdoParallelforeachiterators