Handling Linear Gaussian Bayesian Networks


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Documentation for package ‘rbmn’ version 0.9-6

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rbmn-package Linear Gaussian Bayesian network manipulations
adja2arcs Arc matrix from an adjacency matrix
adja2crossed creates a crossed-adjacency matrix from two ones
adja2nbn standardized /nbn/ from an adjacency matrix
adja4nbn adjacency matrix of a /nbn/
adja4three Adjacency matrices of DAGs having three nodes
arc7nb4nbn returns the number(s) of arcs of a /nbn/
arcs4nbn1nbn returns the list of 'parallel' arcs of a crossed-nbn
bn2nbn transforms a /bn/ of /bnlearn/ package to a /nbn/
bnfit2nbn transforms a /bn.fit/ of /bnlearn/ package to a /nbn/
boco Body Composition Variables and Covariables
chain2correlation computes the correlation matrix of a chain
chain2gema transforms a /chain/ to a /gema/
chain2mn computes the distribution of a chain
chain2nbn transforms a /chain/ to a /nbn/
chain2pre computes the precision of a chain
chain4chain extracts a chain from a chain
check8chain checks a /chain/ object
check8gema checks a /gema/ object
check8nbn checks a /nbn/ object
condi4joint computes some conditional distribution of a multinormal vector
cor4var returns the correlation matrix from the variance
crossed4nbn1nbn creates a crossed-nbn from two /nbn/s
dev4mn Computes the deviance for a sample of multinormal vector
diff8nbn returns a score of the difference between two /nbn/s
estimate8constrainednbn estimates the parameters of a nbn with equality constraints
estimate8nbn estimating the /nbn/ parameters
gema2mn computes a /mn/ from a /gema/
gema2nbn computes a /nbn/ from a /gema/
generate8chain generation of a /chain/ /nbn/
generate8nbn returns a randomly built /nbn/ object.
inout4chain reduces a chain to its inputs and outputs
is8nbn8chain Checks if a given /nbn/ is a /chain/
marginal4chain returns marginal expectations and standard deviations of a chain
mn2gema computes a /gema/ from a /mn/
mn4joint1condi computes a joint distribution from a marginal and a conditional one for multinormal distributions
nb8bn number of Bayesian networks
nbn2bnfit transforms a /nbn/ to a /bn.fit/ of /bnlearn/ package
nbn2chain transforms a /nbn/ into a /chain/
nbn2gema computes a /gema/ from a /nbn/
nbn2mn computes the joint distribution of a /nbn/
nbn2nbn computes the /nbn/ changing its topological order
nbn2rr computes standard matrices from a /nbn/
nbn4nbn From a /nbn/ computes the associated nbn1
nbn4rmatrix a /nbn/ from a regression matrix
normalize8nbn normalizes a /nbn/
order4chain returns a topological order of a /chain/ or checks a proposed order.
order4gema topological order of a /gema/
order4nbn topological order of a /nbn/
print8chain prints a /chain/ object
print8gema standard print function for a /gema/ object.
print8mn standard print function for a /mn/ object.
print8nbn print function for a /nbn/ object.
provided objects Some examplifying structures
rbmn Linear Gaussian Bayesian network manipulations
rbmn0adja.01 Some examplifying structures
rbmn0adja.02 Some examplifying structures
rbmn0adja.03 Some examplifying structures
rbmn0adja.04 Some examplifying structures
rbmn0adja.05 Some examplifying structures
rbmn0chain.01 Some examplifying structures
rbmn0chain.02 Some examplifying structures
rbmn0chain.03 Some examplifying structures
rbmn0crarc.05 Some examplifying structures
rbmn0gema.01 Some examplifying structures
rbmn0gema.02 Some examplifying structures
rbmn0gema.03 Some examplifying structures
rbmn0gema.04 Some examplifying structures
rbmn0gema.05 Some examplifying structures
rbmn0mn.01 Some examplifying structures
rbmn0mn.02 Some examplifying structures
rbmn0mn.03 Some examplifying structures
rbmn0mn.04 Some examplifying structures
rbmn0mn.05 Some examplifying structures
rbmn0nbn.01 Some examplifying structures
rbmn0nbn.02 Some examplifying structures
rbmn0nbn.03 Some examplifying structures
rbmn0nbn.04 Some examplifying structures
rbmn0nbn.05 Some examplifying structures
reverse8chain reverses the nodes of a chain
rm8nd4adja removes somes nodes from an adjacency matrix
rm8nd4nbn removes some nodes from a /nbn/
rmatrix4nbn regression matrix of a /nbn/
simulate8gema simulates from a /gema/ object
simulate8gmn simulates a multinormal vector with varying expectation
simulate8mn simulates a multinormal vector
simulate8nbn simulates from a /nbn/ object
state4chain returns the states of each node of a chain
string7dag4nbn provides so-called string model of a /nbn/
var2pre returns the precision matrix from the variance