Package: hmmr 1.0-1

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_1.0-1.tar.gz
hmmr_1.0-1.zip(r-4.7)hmmr_1.0-1.zip(r-4.6)hmmr_1.0-1.zip(r-4.5)
hmmr_1.0-1.tgz(r-4.6-any)hmmr_1.0-1.tgz(r-4.5-any)
hmmr_1.0-1.tar.gz(r-4.7-any)hmmr_1.0-1.tar.gz(r-4.6-any)
hmmr_1.0-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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:

Conda:

2.30 score 2 stars 8 scripts 602 downloads 3 exports 18 dependencies

Last updated from:6bf0a0add6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK137
source / vignettesOK132
linux-release-x86_64OK120
macos-release-arm64OK103
macos-oldrel-arm64OK95
windows-develOK102
windows-releaseOK105
windows-oldrelOK77
wasm-releaseOK81

Exports:FFBS_BinomialNormalhmmlca

Dependencies:bootcodetoolsdepmixS4digestfuturefuture.applyglobalslatticelistenvMASSnlmennetnumDerivparallellyRcppRcppArmadilloRsolnptruncnorm