Man pages for bnstruct
Bayesian Network Structure Learning from Data with Missing Values

add.observations-setadd further evidence to an existing list of observations of...
asiaload 'Asia' dataset.
asia_10000'Asia' dataset.
asia_2_layersload a two-layers dataset derived from the 'Asia' dataset.
belief.propagationperform belief propagation.
BN-classBN class definition.
BNDataset-classBNDataset class.
bn-methodget the 'BN' object contained in an 'InferenceEngine'.
bn-setset the original 'BN' object contained in an...
bootget selected element of bootstrap list.
bootsget list of bootstrap samples of a 'BNDataset'.
boots-setset list of bootstrap samples of a 'BNDataset'.
bootstrapPerform bootstrap.
build.junction.treebuild a JunctionTree.
childload 'Child' dataset.
child_NA_5000'Child' dataset.
completeSubset a 'BNDataset' to get only complete cases.
cptsget the list of conditional probability tables of a 'BN'.
cpts-setset the list of conditional probability tables of a network.
dagget adjacency matrix of a network.
dag-setset adjacency matrix of an object.
dag.to.cpdagconvert a DAG to a CPDAG
data.fileget data file of a 'BNDataset'.
data.file-setset data file of a 'BNDataset'.
discretenessget status (discrete or continuous) of the variables of an...
discreteness-setset status (discrete or continuous) of the variables of an...
edge.dir.wpdagcounts the edges in a WPDAG with their directionality
emexpectation-maximization algorithm.
get.most.probable.valuescompute the most probable values to be observed.
has.bootscheck whether a 'BNDataset' has bootstrap samples or not.
has.imputed.bootscheck whether a 'BNDataset' has bootstrap samples from...
has.imputed.datacheck if a BNDataset contains impited data.
has.raw.datacheck if a BNDataset contains raw data.
header.fileget header file of a 'BNDataset'.
header.file-setset header file of a 'BNDataset'.
imp.bootsget list of bootstrap samples from imputed data of a...
imp.boots-setset list of bootstrap samples from imputed data of a...
imputeImpute a 'BNDataset' raw data with missing values.
imputed.dataget imputed data of a BNDataset.
imputed.data-setadd imputed data.
InferenceEngine-classInferenceEngine class.
interventionsget the list of interventions of an 'InferenceEngine'.
interventions-setset the list of interventions for an 'InferenceEngine'.
jptsget the list of joint probability tables compiled by an...
jpts-setset the list of joint probability tables compiled by an...
jt.cliquesget the list of cliques of the junction tree of an...
jt.cliques-setset the list of cliques of the junction tree of an...
junction.treeget the junction tree of an 'InferenceEngine'.
junction.tree-setset the junction tree of an 'InferenceEngine'.
knn.imputePerform imputation of a data frame using k-NN.
layeringreturn the layering of the nodes.
learn.dynamic.networklearn a dynamic network (structure and parameters) of a BN...
learn.networklearn a network (structure and parameters) of a BN from a...
learn.paramslearn the parameters of a BN.
learn.structurelearn the structure of a network.
marginalscompute the list of inferred marginals of a BN.
nameget name of an object.
name-setset name of an object.
node.sizesget size of the variables of an object.
node.sizes-setset the size of variables of an object.
num.bootsget number of bootstrap samples of a 'BNDataset'.
num.boots-setset number of bootstrap samples of a 'BNDataset'.
num.itemsget number of items of a 'BNDataset'.
num.items-setset number of items of a 'BNDataset'.
num.nodesget number of nodes of an object.
num.nodes-setset number of nodes of an object.
num.time.stepsget number of time steps observed in a 'BN' or a 'BNDataset'.
num.time.steps-setset number of time steps of a 'BN' or a 'BNDataset'.
num.variablesget number of variables of a 'BNDataset'.
num.variables-setset number of variables of a 'BNDataset'.
observationsget the list of observations of an 'InferenceEngine'.
observations-setset the list of observations of an 'InferenceEngine'.
plotplot a 'BN' as a picture.
printprint a 'BN', 'BNDataset' or 'InferenceEngine' to 'stdout'.
quantilesget the list of quantiles of an object.
quantiles-setset the list of quantiles of an object.
raw.dataget raw data of a BNDataset.
raw.data-setadd raw data.
read.bifRead a network from a '.bif' file.
read.datasetRead a dataset from file.
read.dscRead a network from a '.dsc' file.
read.netRead a network from a '.net' file.
sample.datasetsample a 'BNDataset' from a network of an inference engine.
sample.rowsample a row vector of values for a network.
save.to.epssave a 'BN' picture as '.eps' file.
scoring.funcRead the scoring function used to learn the structure of a...
scoring.func-setSet the scoring function used to learn the structure of a...
shdcompute the Structural Hamming Distance between two adjacency...
showShow method for objects.
struct.algoRead the algorithm used to learn the structure of a network.
struct.algo-setSet the algorithm used to learn the structure of a network.
test.updated.bncheck if an updated 'BN' is present in an 'InferenceEngine'.
tune.knn.imputetune the parameter k of the knn algorithm used in imputation.
updated.bn-methodget the updated 'BN' object contained in an...
updated.bn-setset the updated 'BN' object contained in an...
variablesget variables of an object.
variables-setset variables of an object.
wpdagget the WPDAG of an object.
wpdag.from.dagInitialize a WPDAG from a DAG.
wpdag-setset WPDAG of the object.
write.dscWrite a network saving it in a '.dsc' file.
write_xgmmlWrite a network saving it in an 'XGMML' file.
bnstruct documentation built on July 2, 2020, 2:26 a.m.