kfoots
The package provides methods for fitting multivariate count data with a mixture model or a hidden markov model. Each mixture component is a negative multivariate random variable and an EM algorithm is used to maximize the likelihood.
The package provides methods for fitting multivariate count data with a mixture model or a hidden markov model. Each mixture component is a negative multivariate random variable and an EM algorithm is used to maximize the likelihood.
To install this package, run one of the following:
Summary
The package provides methods for fitting multivariate count data with a mixture model or a hidden markov model. Each mixture component is a negative multivariate random variable and an EM algorithm is used to maximize the likelihood.
Last Updated
Jan 30, 2018 at 23:32
License
GPL-2
Total Downloads
11.7K
Supported Platforms