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)hmix_1.0.3.zip(r-4.6)hmix_1.0.3.zip(r-4.5)
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 442 downloads 1 exports 88 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK323
source / vignettesOK213
linux-release-x86_64OK298
macos-release-arm64OK190
macos-oldrel-arm64OK164
windows-develOK282
windows-releaseOK276
windows-oldrelOK293
wasm-releaseOK147

Exports:hmix

Dependencies:abindbackportsbootbroomcarcarDataclassclicolorspacecorrplotcowplotcpp11cubatureDerivdoBydplyre1071farverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgldglogisgluegridExtragtableHMMisobandlabelinglatticelifecyclelme4lmomlmtestmagrittrMASSMatrixMatrixModelsmc2dmgcvminqamodelrmvtnormnlmenloptrnnetnormalpnumDerivpbkrtestpillarpkgconfigpolynomproxypurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7sandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo