Last data update: 2014.03.03
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bnstruct
Package: bnstruct
Description: Bayesian Network Structure Learning from Data with Missing Values.
The package implements the Silander-Myllymaki complete search,
the Max-Min Hill-climbing heuristic search, and the Structural
Expectation-Maximization algorithm. Available scoring functions are
BDeu, AIC, BIC. The package also implements methods for generating and using
bootstrap samples, imputed data, inference.
Type: Package
Title: Bayesian Network Structure Learning from Data with Missing
Values
Version: 1.0
Date: 2012-02-13
Depends: R (>= 2.10), bitops, Matrix, methods
Imports: igraph
Suggests: graph, Rgraphviz, knitr, testthat
Authors@R: c(person("Francesco", "Sambo", role=c("aut","cre"), email="francesco.sambo@dei.unipd.it"),
person("Alberto", "Franzin", role=c("aut"), email="afranzin@ulb.ac.be"))
License: GPL (>= 2) | file LICENSE
Encoding: UTF-8
Packaged: 2015-07-30 07:21:22 UTC; sambofra
Author: Francesco Sambo [aut, cre],
Alberto Franzin [aut]
Maintainer: Francesco Sambo <francesco.sambo@dei.unipd.it>
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-07-30 09:59:26
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'bnstruct' ...
** package 'bnstruct' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c impfast.c -o impfast.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c mmhcfast.c -o mmhcfast.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c smfast.c -o smfast.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c util.c -o util.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o bnstruct.so impfast.o mmhcfast.o smfast.o util.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/bnstruct/libs
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'bnstruct'
finding HTML links ... done
BN-class html
BNDataset-class html
InferenceEngine-class html
add.observations-set html
asia html
asia_10000 html
belief.propagation html
bn-method html
bn-set html
boot html
boots-set html
boots html
bootstrap html
build.junction.tree html
child html
child_NA_5000 html
complete html
cpts-set html
cpts html
dag-set html
dag html
dag.to.cpdag html
data.file-set html
data.file html
discreteness-set html
discreteness html
em html
get.most.probable.values html
has.boots html
has.imputed.boots html
has.imputed.data html
has.raw.data html
header.file-set html
header.file html
imp.boots-set html
imp.boots html
impute html
imputed.data-set html
imputed.data html
jpts-set html
jpts html
jt.cliques-set html
jt.cliques html
junction.tree-set html
junction.tree html
knn.impute html
layering html
learn.network html
learn.params html
learn.structure html
marginals html
name-set html
name html
node.sizes-set html
node.sizes html
num.boots-set html
num.boots html
num.items-set html
num.items html
num.nodes-set html
num.nodes html
num.variables-set html
num.variables html
observations-set html
observations html
plot html
print html
raw.data-set html
raw.data html
read.bif html
read.dataset html
read.dsc html
read.net html
sample.dataset html
sample.row html
save.to.eps html
scoring.func-set html
scoring.func html
shd html
show html
struct.algo-set html
struct.algo html
test.updated.bn html
tune.knn.impute html
updated.bn-method html
updated.bn-set html
variables-set html
variables html
wpdag-set html
wpdag html
wpdag.from.dag html
write.dsc html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (bnstruct)
Making 'packages.html' ... done
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