bnlearn (4.3)
Bayesian Network Structure Learning, Parameter Learning and Inference.
http://www.bnlearn.com/
http://cran.rproject.org/web/packages/bnlearn
Bayesian network structure learning, parameter learning and inference. This package implements constraintbased (PC, GS, IAMB, InterIAMB, FastIAMB, MMPC, HitonPC), pairwise (ARACNE and ChowLiu), scorebased (HillClimbing and Tabu Search) and hybrid (MMHC and RSMAX2) structure learning algorithms for discrete, Gaussian and conditional Gaussian networks, along with many score functions and conditional independence tests. The Naive Bayes and the TreeAugmented Naive Bayes (TAN) classifiers are also implemented. Some utility functions (model comparison and manipulation, random data generation, arc orientation testing, simple and advanced plots) are included, as well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries and crossvalidation. Development snapshots with the latest bugfixes are available from .
Maintainer:
Marco Scutari
Author(s): Marco Scutari [aut, cre], Robert Ness [ctb]
License: GPL (>= 2)
Uses: ROCR, gmp, graph, lattice, gRain, Rmpfr
Reverse depends: BNSL, geneNetBP
Reverse suggests: BNDataGenerator, bnpa, BTR, CompareCausalNetworks, OGI, ParallelPC, rbmn, sparsebnUtils
Released 8 months ago.
34 previous versions
 bnlearn_4.2. Released about 1 year ago.
 bnlearn_4.1.1. Released over 1 year ago.
 bnlearn_4.1. Released over 1 year ago.
 bnlearn_4.0. Released over 2 years ago.
 bnlearn_3.9. Released almost 3 years ago.
 bnlearn_3.8.1. Released over 3 years ago.
 bnlearn_3.8. Released over 3 years ago.
 bnlearn_3.7.1. Released over 3 years ago.
 bnlearn_3.7. Released over 3 years ago.
 bnlearn_3.6. Released over 4 years ago.
 bnlearn_3.5. Released over 4 years ago.
 bnlearn_3.4. Released about 5 years ago.
 bnlearn_3.3. Released over 5 years ago.
 bnlearn_3.2. Released almost 6 years ago.
 bnlearn_3.1. Released almost 6 years ago.
 bnlearn_3.0. Released about 6 years ago.
 bnlearn_2.9. Released over 6 years ago.
 bnlearn_2.8. Released almost 7 years ago.
 bnlearn_2.7. Released almost 7 years ago.
 bnlearn_2.6. Released about 7 years ago.
 bnlearn_2.5. Released over 7 years ago.
 bnlearn_2.4. Released over 7 years ago.
 bnlearn_2.3. Released almost 8 years ago.
 bnlearn_2.2. Released about 8 years ago.
 bnlearn_2.1.1. Released about 8 years ago.
 bnlearn_1.9. Released over 8 years ago.
 bnlearn_1.8. Released over 8 years ago.
 bnlearn_1.7. Released almost 9 years ago.
 bnlearn_1.6. Released about 9 years ago.
 bnlearn_1.5. Released about 9 years ago.
 bnlearn_1.4.1. Released over 9 years ago.
 bnlearn_1.4. Released over 9 years ago.
 bnlearn_0.8. Released over 10 years ago.
 bnlearn_0.5. Released almost 11 years ago.
Ratings
Overall: 

Documentation: 

Log in to vote.
Reviews

Quick and easy in use
Quick bayes net learning, cooperation with deal, maybe gRain, MASTINO (outside CRAN). I will write about it, after I try to test sth.
newfuntek did not rate bnlearn (1.7). Read the full review.
Related packages: dclone, BDgraph, bayesm, bayesmix, bcp, boa, coda, R2WinBUGS, rbugs, rjags, gRain, cudaBayesreg, catnet, abn, ssgraph, arm, BACCO, BaM, bayesGARCH, BayHaz … (20 best matches, based on common tags.)
Search for bnlearn on google, google scholar, rhelp, rdevel.
Visit bnlearn on R Graphical Manual.