Package: hmmr 1.0-0

Ingmar Visser

hmmr: "Mixture and Hidden Markov Models with R" Datasets and Example Code

Datasets and code examples that accompany our book Visser & Speekenbrink (2021), "Mixture and Hidden Markov Models with R", <https://depmix.github.io/hmmr/>.

Authors:Ingmar Visser [aut, cre], Maarten Speekenbrink [aut]

hmmr_1.0-0.tar.gz
hmmr_1.0-0.zip(r-4.5)hmmr_1.0-0.zip(r-4.4)hmmr_1.0-0.zip(r-4.3)
hmmr_1.0-0.tgz(r-4.5-any)hmmr_1.0-0.tgz(r-4.4-any)hmmr_1.0-0.tgz(r-4.3-any)
hmmr_1.0-0.tar.gz(r-4.5-noble)hmmr_1.0-0.tar.gz(r-4.4-noble)
hmmr_1.0-0.tgz(r-4.4-emscripten)hmmr_1.0-0.tgz(r-4.3-emscripten)
hmmr.pdf |hmmr.html
hmmr/json (API)
NEWS

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

Bug tracker:https://github.com/depmix/hmmr/issues

Datasets:

On CRAN:

2.00 score 1 stars 7 scripts 187 downloads 3 exports 7 dependencies

Last updated 4 years agofrom:e28ca25d93. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 10 2025
R-4.5-winNOTEFeb 10 2025
R-4.5-macNOTEFeb 10 2025
R-4.5-linuxNOTEFeb 10 2025
R-4.4-winNOTEFeb 10 2025
R-4.4-macNOTEFeb 10 2025
R-4.3-winNOTEFeb 10 2025
R-4.3-macNOTEFeb 10 2025

Exports:FFBS_BinomialNormalhmmlca

Dependencies:depmixS4latticeMASSnlmennetRsolnptruncnorm