Package: hmix 1.0.2

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_1.0.2.tar.gz
hmix_1.0.2.zip(r-4.5)hmix_1.0.2.zip(r-4.4)hmix_1.0.2.zip(r-4.3)
hmix_1.0.2.tgz(r-4.4-any)hmix_1.0.2.tgz(r-4.3-any)
hmix_1.0.2.tar.gz(r-4.5-noble)hmix_1.0.2.tar.gz(r-4.4-noble)
hmix_1.0.2.tgz(r-4.4-emscripten)hmix_1.0.2.tgz(r-4.3-emscripten)
hmix.pdf |hmix.html✨
hmix/json (API)
NEWS

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

Peer review:

Datasets:
  • dummy_set - A simple data set with stock close prices

On CRAN:

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

1.00 score 1 scripts 179 downloads 1 exports 82 dependencies

Last updated 2 months agofrom:7718405050. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winOKOct 25 2024
R-4.5-linuxOKOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:hmix

Dependencies:abindbackportsbootbroomcarcarDataclassclicolorspacecorrplotcowplotcpp11cubatureDerivdoBydplyre1071edfunfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifgldglogisgluegridExtragtableHMMisobandlabelinglatticelifecyclelme4lmommagrittrMASSMatrixMatrixModelsmc2dmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnormalpnumDerivpbkrtestpillarpkgconfigpolynomproxypurrrquantregR6RColorBrewerRcppRcppEigenrlangrstatixsandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzoo