Last data update: 2014.03.03
Data Source
Data Type
Classification
Cran Task View
BiocViews
SMO (statistical methods ontology)
Results 1 - 10 of 92 found.[1]
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Insert raw data in a BNDataset object.
● Data Source:
CranContrib
sample a BNDataset from a network of an inference engine.
● Data Source:
CranContrib
cpts
(Package: bnstruct ) :
get the list of conditional probability tables of a code{link{BN
BN object. Each probability table is associated to the corresponding variable, and its dimensions are named according to the variable they represent.
● Data Source:
CranContrib
em
(Package: bnstruct ) :
expectation-maximization algorithm.
● Data Source:
CranContrib
name<-
(Package: bnstruct ) :
set name of an object.
name slot of an object of type BN or BNDataset.
● Data Source:
CranContrib
test.updated.bn
(Package: bnstruct ) :
check if an updated code{link{BN
● Data Source:
CranContrib
Create a list of num.boots samples of the original dataset.
● Data Source:
CranContrib
show
(Package: bnstruct ) :
Show method for objects.
show method allows to provide a custom aspect for the output that is generated when the name of an instance is gives as command in an R session.
● Data Source:
CranContrib
jt.cliques
(Package: bnstruct ) :
get the list of cliques of the junction tree of an code{link{InferenceEngine
● Data Source:
CranContrib
complete
(Package: bnstruct ) :
Subset a code{link{BNDataset
BNDataset, return a copy of the original object where the raw.data consists only in the observations that do not contain missing values.
● Data Source:
CranContrib
providing 
.