deal
Learning Bayesian Networks with Mixed Variables
Bayesian networks with continuous and/or discrete variables can be learned and compared from data. The method is described in Boettcher and Dethlefsen (2003), <doi:10.18637/jss.v008.i20>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2-42 |
rolling linux/jammy R-4.5 | deal_1.2-42.tar.gz |
281.1 KiB |
1.2-42 |
rolling linux/noble R-4.5 | deal_1.2-42.tar.gz |
280.9 KiB |
1.2-42 |
rolling source/ R- | deal_1.2-42.tar.gz |
81.9 KiB |
1.2-42 |
latest linux/jammy R-4.5 | deal_1.2-42.tar.gz |
281.1 KiB |
1.2-42 |
latest linux/noble R-4.5 | deal_1.2-42.tar.gz |
280.9 KiB |
1.2-42 |
latest source/ R- | deal_1.2-42.tar.gz |
81.9 KiB |
1.2-42 |
2026-04-26 source/ R- | deal_1.2-42.tar.gz |
81.9 KiB |
1.2-42 |
2026-04-23 source/ R- | deal_1.2-42.tar.gz |
81.9 KiB |
1.2-42 |
2026-04-09 windows/windows R-4.5 | deal_1.2-42.zip |
288.7 KiB |
1.2-42 |
2025-04-20 source/ R- | deal_1.2-42.tar.gz |
81.9 KiB |