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Designed for fitting hidden (latent) Markov models and mixture hidden Markov models for social sequence data and other categorical time series. Also some more restricted versions of these type of models are available: Markov models, mixture Markov models, and latent class models. The package supports models for one or multiple subjects with one or multiple parallel sequences (channels). External covariates can be added to explain cluster membership in mixture models. The package provides functions for evaluating and comparing models, as well as functions for visualizing of multichannel sequence data and hidden Markov models. Models are estimated using maximum likelihood via the EM algorithm and/or direct numerical maximization with analytical gradients. All main algorithms are written in C++ with support for parallel computation. Documentation is available via several vignettes in this page, and the paper by Helske and Helske (2019, <doi:10.18637/jss.v088.i03>).
Version: | 1.2.6 |
Depends: | R (≥ 3.5.0) |
Imports: | gridBase, igraph, Matrix, nloptr, numDeriv, Rcpp (≥ 0.11.3), TraMineR (≥ 1.8-8), graphics, grDevices, grid, methods, stats, utils |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | MASS, nnet, knitr, testthat (≥ 3.0.0), covr |
Published: | 2023-07-06 |
DOI: | 10.32614/CRAN.package.seqHMM |
Author: | Jouni Helske |
Maintainer: | Jouni Helske <jouni.helske at iki.fi> |
BugReports: | https://github.com/helske/seqHMM/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Citation: | seqHMM citation info |
Materials: | README NEWS |
CRAN checks: | seqHMM results |
Package source: | seqHMM_1.2.6.tar.gz |
Windows binaries: | r-devel: seqHMM_1.2.6.zip, r-release: seqHMM_1.2.6.zip, r-oldrel: seqHMM_1.2.6.zip |
macOS binaries: | r-release (arm64): seqHMM_1.2.6.tgz, r-oldrel (arm64): seqHMM_1.2.6.tgz, r-release (x86_64): seqHMM_1.2.6.tgz, r-oldrel (x86_64): seqHMM_1.2.6.tgz |
Old sources: | seqHMM archive |
Reverse imports: | DBHC |
Reverse suggests: | clickb |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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