Log message:
Take responsibility for all that R stuff I imported so far.

Log message:
Update bnlearn to version 3.0. Changes:

* added dsep() to test d-separation.
* implemented Tree-Augmented Naive Bayes (TAN) in tree.bayes().
* implemented Semi-Interleaved HITON-PC in si.hiton.pc().
* improved parsing in read.{bif,dsc,net}().
* fixed an indexing error in Gaussian permutation tests.
* added a "textCol" highlight option to graphviz.plot().
* added {incoming,outgoing,incident}.arcs().
* fixed two hard-tohit bugs in TABU search (thanks Maxime Gasse).
* added custom.fit() for expert parameter specification.
* added support for Markov blanket preseeding in learn.mb().
* assume independence instead of returning an error when a
  partial correlation test fails due to errors in the
  computation of the pseudoinverse of the covariance matrix.
* fixed an incorrect optimization in the backward phase of mmpc().
* fixed a floating point rounding problem in the mutual
  information tests (64bit OSes only, thanks Maxime Gasse).
* fixed cp{query,dist}() handling of TRUE (thanks Maxime Gasse).
* added learn.nbr() to complement learn.mb().

Log message:
Import R-bnlearn-2.9 as wip/R-bnlearn.

Bayesian network structure learning (via constraint-based, score-based
and hybrid algorithms), parameter learning (via ML and Bayesian
estimators) and inference.