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
card.svg |card.png
hmix/json (API)
NEWS

# 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 460 downloads 1 exports 89 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK307
source / vignettesOK175
linux-release-x86_64OK290
macos-release-arm64OK208
macos-oldrel-arm64OK198
windows-develOK270
windows-releaseOK290
windows-oldrelOK290
wasm-releaseOK123

Exports:hmix

Dependencies:abindbackportsbootbroomcarcarDataclassclicolorspacecorrplotcowplotcpp11cubatureDerivdoBydplyre1071farverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgldglogisgluegridExtragtableHMMisobandlabelinglatticelifecyclelme4lmomlmtestmagrittrMASSMatrixMatrixModelsmc2dmgcvmicrobenchmarkminqamodelrmvtnormnlmenloptrnnetnormalpnumDerivpbkrtestpillarpkgconfigpolynomproxypurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7sandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo