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hmix

Hidden Markov Model for Predicting Time Sequences with Mixture Sampling

v1.0.3 · Mar 29, 2026 · GPL-3

Description

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.

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CRAN Check Status

14 OK
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Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies normalp glogis gld purrr HMM mc2d cubature (>= 2.1.0) dplyr hmix

Version History

updated 1.0.3 ← 1.0.2 diff Mar 29, 2026
new 1.0.2 Mar 10, 2026