Package: CDGHMM 0.1.1

CDGHMM: Hidden Markov Models for Multivariate Panel Data

Estimates hidden Markov models from the family of Cholesky-decomposed Gaussian hidden Markov models (CDGHMM) under various missingness schemes. This family improves upon estimation of traditional Gaussian HMMs by introducing parsimony, as well as, controlling for dropped out observations and non-random missingness. See Neal, Sochaniwsky and McNicholas (2024) <doi:10.1007/s11222-024-10462-0>.

Authors:Mackenzie R. Neal [aut, cre], Alexa A. Sochaniwsky [aut], Paul D. McNicholas [aut]

CDGHMM_0.1.1.tar.gz
CDGHMM_0.1.1.zip(r-4.5)CDGHMM_0.1.1.zip(r-4.4)CDGHMM_0.1.1.zip(r-4.3)
CDGHMM_0.1.1.tgz(r-4.4-any)CDGHMM_0.1.1.tgz(r-4.3-any)
CDGHMM_0.1.1.tar.gz(r-4.5-noble)CDGHMM_0.1.1.tar.gz(r-4.4-noble)
CDGHMM_0.1.1.tgz(r-4.4-emscripten)CDGHMM_0.1.1.tgz(r-4.3-emscripten)
CDGHMM.pdf |CDGHMM.html
CDGHMM/json (API)

# Install 'CDGHMM' in R:
install.packages('CDGHMM', repos = c('https://mneal4.r-universe.dev', 'https://cloud.r-project.org'))

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On CRAN:

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

1.30 score 159 downloads 1 exports 4 dependencies

Last updated 5 days agofrom:f97b3c55d2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winOKNov 02 2024
R-4.5-linuxOKNov 02 2024
R-4.4-winOKNov 02 2024
R-4.4-macOKNov 02 2024
R-4.3-winOKNov 02 2024
R-4.3-macOKNov 02 2024

Exports:cdghmm

Dependencies:clusterMASSmvtnormramify