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.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
DESCRIPTION |NEWS
card.svg |card.png
hmmr/json (API)

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

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

Datasets:

On CRAN:

Conda:

archivedpackagesr-universe

1.70 score 5 stars 8 scripts 582 downloads 3 exports 18 dependencies

Last updated from:145230843a (on package/hmmr). Checks:7 OK, 2 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK176
linux-release-x86_64OK165
macos-release-arm64FAIL61
macos-oldrel-arm64FAIL70
windows-develOK100
windows-releaseOK89
windows-oldrelOK81
wasm-releaseOK137

Exports:FFBS_BinomialNormalhmmlca

Dependencies:bootcodetoolsdepmixS4digestfuturefuture.applyglobalslatticelistenvMASSnlmennetnumDerivparallellyRcppRcppArmadilloRsolnptruncnorm