Package: uHMM 1.0

Paul TERNYNCK

uHMM: Construct an Unsupervised Hidden Markov Model

Construct a Hidden Markov Model with states learnt by unsupervised classification.

Authors:Emilie POISSON-CAILLAULT [aut], Paul TERNYNCK [aut, cre]

uHMM_1.0.tar.gz
uHMM_1.0.tar.gz(r-4.5-noble)uHMM_1.0.tar.gz(r-4.4-noble)
uHMM_1.0.tgz(r-4.4-emscripten)uHMM_1.0.tgz(r-4.3-emscripten)
uHMM.pdf |uHMM.html
uHMM/json (API)

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

Peer review:

Datasets:

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

1.00 score 126 downloads 12 exports 106 dependencies

Last updated 9 years agofrom:89a6509b2c. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-linuxOKNov 18 2024

Exports:computeGapcutCalculationemissionMatrixFastSpectralNJWHMMparamsKmeansAutoElbowKpartitionNJWselfKNNspectralPamClusteringNgtransitionMatrixuHMMinterfaceZPGaussianSimilarity

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatachronclasscliclusterclValidcolorspacecorrplotcowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsggplot2ggrepelgluegtablehighrHMMhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownsassscalesscatterplot3dSparseMstringistringrsurvivaltcltk2tibbletidyrtidyselecttinytextkrplotutf8vctrsviridisLitewithrxfunyaml