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>.
| Name | Type | Version | Platform | Labels | Updated | Size | Downloads | Actions |
|---|
osx-64/r-discretecdalgorithm-0.0.7-r44ha730edb_5.conda | conda | 0.0.7 | osx-64 | main | Sep 24, 2025, 01:22 PM | 192.43 KB | 52 | |
osx-64/r-discretecdalgorithm-0.0.7-r45ha730edb_5.conda | conda | 0.0.7 | osx-64 | main | Sep 24, 2025, 01:21 PM | 193.04 KB | 55 | |
win-64/r-discretecdalgorithm-0.0.7-r45hd8a2815_5.conda | conda | 0.0.7 | win-64 | main | Sep 24, 2025, 01:20 PM | 173.12 KB | 53 | |
win-64/r-discretecdalgorithm-0.0.7-r44hd8a2815_5.conda | conda | 0.0.7 | win-64 | main | Sep 24, 2025, 01:20 PM | 173.01 KB | 53 | |
linux-64/r-discretecdalgorithm-0.0.7-r45h3697838_5.conda | conda | 0.0.7 | linux-64 | main | Sep 24, 2025, 01:14 PM | 190.16 KB | 257 | |
linux-64/r-discretecdalgorithm-0.0.7-r44h3697838_5.conda | conda | 0.0.7 | linux-64 | main | Sep 24, 2025, 01:13 PM | 189.92 KB | 248 | |
win-64/r-discretecdalgorithm-0.0.7-r43h8ae3a7c_4.conda | conda | 0.0.7 | win-64 | main | Aug 4, 2024, 02:15 AM | 169.67 KB | 306 | |
win-64/r-discretecdalgorithm-0.0.7-r44h8ae3a7c_4.conda | conda | 0.0.7 | win-64 | main | Aug 4, 2024, 02:12 AM | 169.67 KB | 293 | |
osx-64/r-discretecdalgorithm-0.0.7-r43h25d921d_4.conda | conda | 0.0.7 | osx-64 | main | Aug 4, 2024, 02:06 AM | 191.9 KB | 229 | |
osx-64/r-discretecdalgorithm-0.0.7-r44h25d921d_4.conda | conda | 0.0.7 | osx-64 | main | Aug 4, 2024, 02:06 AM | 192.11 KB | 244 | |
linux-64/r-discretecdalgorithm-0.0.7-r43h0d4f4ea_4.conda | conda | 0.0.7 | linux-64 | main | Aug 4, 2024, 02:04 AM | 182.84 KB | 1.4K | |
linux-64/r-discretecdalgorithm-0.0.7-r44h0d4f4ea_4.conda | conda | 0.0.7 | linux-64 | main | Aug 4, 2024, 02:04 AM | 182.97 KB | 1.5K | |
win-64/r-discretecdalgorithm-0.0.7-r41ha856d6a_3.conda | conda | 0.0.7 | win-64 | main | Jun 17, 2023, 03:53 PM | 167.81 KB | 488 | |
osx-64/r-discretecdalgorithm-0.0.7-r42hac7d2d5_3.conda | conda | 0.0.7 | osx-64 | main | Jun 17, 2023, 03:47 PM | 194.62 KB | 245 | |
osx-64/r-discretecdalgorithm-0.0.7-r43hac7d2d5_3.conda | conda | 0.0.7 | osx-64 | main | Jun 17, 2023, 03:45 PM | 194.21 KB | 235 | |
linux-64/r-discretecdalgorithm-0.0.7-r43ha503ecb_3.conda | conda | 0.0.7 | linux-64 | main | Jun 17, 2023, 03:40 PM | 177.6 KB | 2.1K | |
linux-64/r-discretecdalgorithm-0.0.7-r42ha503ecb_3.conda | conda | 0.0.7 | linux-64 | main | Jun 17, 2023, 03:39 PM | 177.89 KB | 2.1K | |
win-64/r-discretecdalgorithm-0.0.7-r41ha856d6a_2.tar.bz2 | conda | 0.0.7 | win-64 | main | Oct 12, 2022, 04:42 PM | 186.59 KB | 559 | |
osx-64/r-discretecdalgorithm-0.0.7-r42h49197e3_2.tar.bz2 | conda | 0.0.7 | osx-64 | main | Oct 12, 2022, 04:10 PM | 226.12 KB | 79 | |
osx-64/r-discretecdalgorithm-0.0.7-r41h49197e3_2.tar.bz2 | conda | 0.0.7 | osx-64 | main | Oct 12, 2022, 04:09 PM | 225.96 KB | 77 | |
linux-64/r-discretecdalgorithm-0.0.7-r41h7525677_2.tar.bz2 | conda | 0.0.7 | linux-64 | main | Oct 12, 2022, 04:05 PM | 196.89 KB | 2.4K | |
linux-64/r-discretecdalgorithm-0.0.7-r42h7525677_2.tar.bz2 | conda | 0.0.7 | linux-64 | main | Oct 12, 2022, 04:04 PM | 197.17 KB | 2.5K | |
win-64/r-discretecdalgorithm-0.0.7-r40ha856d6a_1.tar.bz2 | conda | 0.0.7 | win-64 | main | May 25, 2021, 01:24 PM | 185.48 KB | 807 | |
win-64/r-discretecdalgorithm-0.0.7-r41ha856d6a_1.tar.bz2 | conda | 0.0.7 | win-64 | main | May 25, 2021, 01:19 PM | 181.8 KB | 800 | |
osx-64/r-discretecdalgorithm-0.0.7-r41h9951f98_1.tar.bz2 | conda | 0.0.7 | osx-64 | main | May 25, 2021, 01:11 PM | 207.65 KB | 145 |