discretecdAlgorithm
Coordinate-Descent Algorithm for Learning Sparse Discrete Bayesian Networks
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)
- Version0.0.7
- R version≥ 3.2.3
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release03/12/2020
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Team
Jiaying Gu
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- Depends1 package
- Imports3 packages
- Suggests1 package
- Linking To2 packages