README.md
In SWotherspoon/MVNSeq: Normal Mixture and Hidden Markov Models
MVNSeq
MVNSeq provides facilities for fitting hidden Markov and mixture models to sequences of multivariate Normal observations. Allows for multiple sequences and random variation in the state means across different sequences.
Installing
The package is easily installed from GitHub, using the devtools package.
devtools::install_github("SWotherspoon/MVNSeq")
If you don't have devtools installed already, install it first.
install.packages("devtools")
(MVNSeq otherwise does not need devtools for normal use.)
SWotherspoon/MVNSeq documentation built on June 1, 2022, 10:49 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
MVNSeq
MVNSeq provides facilities for fitting hidden Markov and mixture models to sequences of multivariate Normal observations. Allows for multiple sequences and random variation in the state means across different sequences.
Installing
The package is easily installed from GitHub, using the devtools package.
devtools::install_github("SWotherspoon/MVNSeq")
If you don't have devtools installed already, install it first.
install.packages("devtools")
(MVNSeq otherwise does not need devtools for normal use.)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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