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conda-forge / packages / r-discretecdalgorithm

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>.

copied from cf-staging / r-discretecdalgorithm
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main 0.0.7
cf201901 0.0.5
cf202003 0.0.7
gcc7 0.0.5

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