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seqHMM
View on CRAN: Click
here
Download and install seqHMM package within the R console
Install from CRAN:
install.packages("seqHMM")
Install from Github:
library("remotes")
install_github("cran/seqHMM")
Install by package version:
library("remotes")
install_version("seqHMM", "1.2.6")
Attach the package and use:
library("seqHMM")
Maintained by
Jouni Helske
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-19
Latest Update: 2023-07-06
Description:
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, ).
How to cite:
Jouni Helske (2015). seqHMM: Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series. R package version 1.2.6, https://cran.r-project.org/web/packages/seqHMM. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.2-1 (2015-12-19 16:15), 1.0.3-1 (2015-12-30 12:10), 1.0.3 (2015-12-23 10:15), 1.0.4 (2016-01-14 13:12), 1.0.5 (2016-02-24 12:07), 1.0.6 (2016-08-01 17:29), 1.0.7 (2017-04-04 19:17), 1.0.8-1 (2018-05-10 14:17), 1.0.8 (2017-11-08 17:59), 1.0.9 (2018-11-06 16:30), 1.0.10 (2019-01-26 06:40), 1.0.11 (2019-04-09 17:22), 1.0.12 (2019-04-11 13:52), 1.0.13 (2019-06-17 15:50), 1.0.14 (2019-10-22 18:50), 1.1.0 (2021-06-18 20:10), 1.1.1 (2021-08-13 10:00), 1.2.0 (2021-10-18 09:40), 1.2.1-1 (2022-05-25 13:00), 1.2.2 (2022-11-30 15:40), 1.2.3 (2022-12-12 14:50), 1.2.4 (2023-01-09 12:20), 1.2.5 (2023-06-12 10:00)
Other packages that cited seqHMM R package
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Other R packages that seqHMM depends,
imports, suggests or enhances
Complete documentation for seqHMM
Functions, R codes and Examples using
the seqHMM R package
Some associated functions: TraMineR_imports . biofam3c . build_hmm . build_lcm . build_mhmm . build_mm . build_mmm . cluster_names-set . cluster_names . colorpalette . estimate_coef . fit_model . forward_backward . gridplot . hidden_paths . hmm_biofam . hmm_mvad . logLik.hmm . logLik.mhmm . mc_to_sc . mc_to_sc_data . mhmm_biofam . mhmm_mvad . mssplot . plot.hmm . plot.mhmm . plot.ssp . plot_colors . posterior_probs . print . separate_mhmm . seqHMM-deprecated . seqHMM . simulate_hmm . simulate_mhmm . simulate_pars . ssp . ssplot . state_names-set . state_names . summary.mhmm . trim_model . vcov.mhmm .
Some associated R codes: HMMplot.R . RcppExports.R . SSPlotter.R . biofam3c.R . build_hmm.R . build_lcm.R . build_mhmm.R . build_mm.R . build_mmm.R . check_deprecated_args.R . cluster_names.R . colorpalette.R . combine_models.R . estimate_coef.R . fit_model.R . forwardBackward.R . gridplot.R . hidden_paths.R . hmm_biofam.R . hmm_mvad.R . import_seqdef.R . isColor.R . is_multichannel.R . logLik.hmm.R . logLik.mhmm.R . mHMMplotgrid.R . mHMMplotint.R . mc_to_sc.R . mc_to_sc_data.R . mhmm_biofam.R . mhmm_mvad.R . mssplot.R . plot.hmm.R . plot.mhmm.R . plot.ssp.R . plot_colors.R . posterior_probs.R . print.hmm.R . print.mhmm.R . print.summary.mhmm.R . separate_mhmm.R . seqHMM-deprecated.R . seqHMM-package.R . simulate_hmm.R . simulate_mhmm.R . simulate_pars.R . spread_models.R . ssp.R . ssplot.R . ssplotM.R . state_names.R . summary.mhmm.R . trim_hmm.R . vcov.mhmm.R . zzz.R . Full seqHMM package functions and examples
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