Package: hmix 1.0.3

hmix: Hidden Markov Model for Predicting Time Sequences with Mixture Sampling

An algorithm for time series analysis that leverages hidden Markov models, cluster analysis, and mixture distributions to segment data, detect patterns and predict future sequences.

Authors:Giancarlo Vercellino [aut, cre, cph]

hmix_1.0.3.tar.gz
hmix_1.0.3.zip(r-4.7-any)hmix_1.0.3.zip(r-4.6-any)hmix_1.0.3.zip(r-4.5-any)
hmix_1.0.3.tgz(r-4.6-any)hmix_1.0.3.tgz(r-4.5-any)
hmix_1.0.3.tar.gz(r-4.7-any)hmix_1.0.3.tar.gz(r-4.6-any)
hmix_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
hmix/json (API)

# Install 'hmix' in R:
install.packages('hmix', repos = c('https://pigian.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • dummy_set - A simple data set with stock close prices

On CRAN:

Conda:

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

1.00 score 2 scripts 358 downloads 1 exports 88 dependencies

Last updated from:a50b2688e6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK316
source / vignettesOK217
linux-releaseOK266
macos-releaseOK227
macos-oldrelOK223
windows-develOK287
windows-releaseOK265
windows-oldrelOK333
wasm-releaseOK140

Exports:hmix

Dependencies:abindbackportsbootbroomcarcarDataclassclicolorspacecorrplotcowplotcpp11cubatureDerivdoBydplyre1071farverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgldglogisgluegridExtragtableHMMisobandlabelinglatticelifecyclelme4lmomlmtestmagrittrMASSMatrixMatrixModelsmc2dmgcvminqamodelrmvtnormnlmenloptrnnetnormalpnumDerivpbkrtestpillarpkgconfigpolynomproxypurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7sandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo