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r-discretecdalgorithm

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Structure learning of Bayesian network using coordinate-descent algorithm. This algorithm is designed for discrete network assuming a multinomial data set, and we use a multi-logit model to do the regression. The algorithm is described in Gu, Fu and Zhou (2016) <arXiv:1403.2310>.

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-discretecdalgorithm

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Summary

Structure learning of Bayesian network using coordinate-descent algorithm. This algorithm is designed for discrete network assuming a multinomial data set, and we use a multi-logit model to do the regression. The algorithm is described in Gu, Fu and Zhou (2016) <arXiv:1403.2310>.

Last Updated

Mar 12, 2020 at 07:46

License

GPL-2.0-or-later

Total Downloads

81.9K

Supported Platforms

macOS-64
win-64
linux-64