seqHMM

Hidden Markov Models for Life Sequences and Other Multivariate, Multichannel Categorical Time Series

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 easy plotting 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.

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Description file content

Package
seqHMM
Title
Hidden Markov Models for Life Sequences and Other Multivariate, Multichannel Categorical Time Series
Version
1.0.9
Date
2018-11-06
Author
Jouni Helske, Satu Helske
Maintainer
Jouni Helske
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 easy plotting 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.
LazyData
true
LinkingTo
Rcpp, RcppArmadillo
Depends
R (>= 3.2.0)
Imports
gridBase, igraph, Matrix, nloptr, numDeriv, Rcpp (>= 0.11.3), TraMineR (>= 1.8-8), graphics, grDevices, grid, methods, stats, utils
Suggests
MASS, nnet, knitr
SystemRequirements
C++11
License
GPL (>= 2)
Encoding
UTF-8
BugReports
https://github.com/helske/seqHMM/issues
VignetteBuilder
knitr
RoxygenNote
6.1.0
NeedsCompilation
yes
Packaged
2018-11-06 13:04:56 UTC; jouhe21
Repository
CRAN
Date/Publication
2018-11-06 15:30:03 UTC

install.packages('seqHMM')

1.0.9

11 days ago

Jouni Helske

GPL (>= 2)

Depends on

R (>= 3.2.0)

Imports

gridBase, igraph, Matrix, nloptr, numDeriv, Rcpp (>= 0.11.3), TraMineR (>= 1.8-8), graphics, grDevices, grid, methods, stats, utils

Suggests

MASS, nnet, knitr

Discussions