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 |