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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>.

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conda	184.5 kB	\| win-64/r-discretecdalgorithm-0.0.5-r36h796a38f_1001.tar.bz2	5 years and 9 months ago	1363	main cf202003
conda	183.7 kB	\| win-64/r-discretecdalgorithm-0.0.5-r35h796a38f_1001.tar.bz2	5 years and 9 months ago	1366	main cf202003
conda	213.2 kB	\| osx-64/r-discretecdalgorithm-0.0.5-r36hf99fc2c_1001.tar.bz2	5 years and 9 months ago	340	main cf202003
conda	340.5 kB	\| osx-64/r-discretecdalgorithm-0.0.5-r35hf99fc2c_1001.tar.bz2	5 years and 9 months ago	344	main cf202003
conda	183.9 kB	\| linux-64/r-discretecdalgorithm-0.0.5-r35h0357c0b_1001.tar.bz2	5 years and 9 months ago	3923	main cf202003
conda	184.5 kB	\| linux-64/r-discretecdalgorithm-0.0.5-r36h0357c0b_1001.tar.bz2	5 years and 9 months ago	3978	main cf202003
conda	212.1 kB	\| osx-64/r-discretecdalgorithm-0.0.5-r351h466af19_1000.tar.bz2	6 years and 4 months ago	339	main gcc7 cf202003
conda	181.6 kB	\| win-64/r-discretecdalgorithm-0.0.5-r351h796a38f_1000.tar.bz2	6 years and 4 months ago	1596	main cf202003 cf201901
conda	183.8 kB	\| linux-64/r-discretecdalgorithm-0.0.5-r351h29659fb_1000.tar.bz2	6 years and 4 months ago	4556	main gcc7 cf202003
conda	181.6 kB	\| win-64/r-discretecdalgorithm-0.0.5-r351h796a38f_0.tar.bz2	6 years and 4 months ago	1595	main cf202003 cf201901
conda	331.9 kB	\| osx-64/r-discretecdalgorithm-0.0.5-r351h9d2a408_0.tar.bz2	6 years and 4 months ago	340	main cf202003 cf201901
conda	488.6 kB	\| linux-64/r-discretecdalgorithm-0.0.5-r351h9d2a408_0.tar.bz2	6 years and 4 months ago	4595	main cf202003 cf201901

conda-forge / packages / r-discretecdalgorithm 0

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conda-forge / packages / r-discretecdalgorithm

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