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 |