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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.

Type Size Name Uploaded Downloads Labels
conda 331.5 kB | osx-64/kfoots-1.0-r351h470a237_1.tar.bz2  6 years and 1 month ago 1101 main cf201901
conda 387.0 kB | linux-64/kfoots-1.0-r351h470a237_1.tar.bz2  6 years and 1 month ago 421 main cf201901
conda 359.3 kB | linux-64/kfoots-1.0-r341h470a237_1.tar.bz2  6 years and 1 month ago 535 main cf201901
conda 303.7 kB | osx-64/kfoots-1.0-r341h470a237_1.tar.bz2  6 years and 4 months ago 348 main cf201901
conda 345.8 kB | linux-64/kfoots-1.0-r3.4.1_0.tar.bz2  6 years and 9 months ago 551 main cf201901
conda 302.7 kB | osx-64/kfoots-1.0-r3.4.1_0.tar.bz2  6 years and 9 months ago 213 main cf201901

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