rbmn: Handling Linear Gaussian Bayesian Networks

Creation, manipulation, simulation of linear Gaussian Bayesian networks from text files and more...

AuthorJean-Baptiste Denis <Jean-Baptiste.Denis@jouy.inra.fr>
Date of publication2013-08-01 15:29:29
MaintainerJean-Baptiste Denis <Jean-Baptiste.Denis@jouy.inra.fr>
LicenseGPL (>= 2)
Version0.9-2

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Man pages

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...

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...

mn2gema: computes a /gema/ from a /mn/

mn4joint1condi: computes a joint distribution from a marginal and a...

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/

objets: Some examplifying structures

order4chain: returns a topological order of a /chain/ or checks a proposed...

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.

rbmn-package: Linear Gaussian Bayesian network manipulations

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

Files in this package

rbmn
rbmn/inst
rbmn/inst/original
rbmn/inst/original/normal.code.r
rbmn/inst/original/objets.code.r
rbmn/inst/original/crossed.code.r
rbmn/inst/original/nbnst.code.r
rbmn/inst/original/nbnma.code.r
rbmn/inst/original/rbsb.code.r
rbmn/inst/original/chain.code.r
rbmn/inst/original/auxi.code.r
rbmn/inst/original/nbneq.code.r
rbmn/inst/original/interface.code.r
rbmn/inst/original/nbnmi.code.r
rbmn/inst/original/misc.code.r
rbmn/NAMESPACE
rbmn/data
rbmn/data/boco.rda
rbmn/R
rbmn/R/f07.normal.code.r
rbmn/R/f02.chain.code.r
rbmn/R/f11.interface.code.r
rbmn/R/f09.misc.code.r
rbmn/R/f06.nbnst.code.r
rbmn/R/f05.nbnma.code.r
rbmn/R/f00.rbsb.code.r
rbmn/R/f08.crossed.code.r
rbmn/R/f01.auxi.code.r
rbmn/R/f04.nbneq.code.r
rbmn/R/f03.nbnmi.code.r
rbmn/R/zzz.R
rbmn/R/f10.objets.code.r
rbmn/MD5
rbmn/DESCRIPTION
rbmn/man
rbmn/man/rmatrix4nbn.Rd rbmn/man/is8nbn8chain.Rd rbmn/man/condi4joint.Rd rbmn/man/nbn4nbn.Rd rbmn/man/reverse8chain.Rd rbmn/man/marginal4chain.Rd rbmn/man/rm8nd4adja.Rd rbmn/man/simulate8gema.Rd rbmn/man/inout4chain.Rd rbmn/man/rbmn-package.Rd rbmn/man/simulate8gmn.Rd rbmn/man/order4nbn.Rd rbmn/man/adja2nbn.Rd rbmn/man/cor4var.Rd rbmn/man/generate8nbn.Rd rbmn/man/string7dag4nbn.Rd rbmn/man/estimate8nbn.Rd rbmn/man/chain2correlation.Rd rbmn/man/nbn4rmatrix.Rd rbmn/man/crossed4nbn1nbn.Rd rbmn/man/chain2pre.Rd rbmn/man/nbn2chain.Rd rbmn/man/nbn2gema.Rd rbmn/man/bn2nbn.Rd rbmn/man/chain2gema.Rd rbmn/man/rm8nd4nbn.Rd rbmn/man/adja4nbn.Rd rbmn/man/nbn2rr.Rd rbmn/man/diff8nbn.Rd rbmn/man/print8nbn.Rd rbmn/man/mn2gema.Rd rbmn/man/order4gema.Rd rbmn/man/check8gema.Rd rbmn/man/boco.Rd rbmn/man/simulate8nbn.Rd rbmn/man/nbn2nbn.Rd rbmn/man/print8gema.Rd rbmn/man/order4chain.Rd rbmn/man/chain2nbn.Rd rbmn/man/nbn2bnfit.Rd rbmn/man/check8chain.Rd rbmn/man/print8chain.Rd rbmn/man/check8nbn.Rd rbmn/man/arc7nb4nbn.Rd rbmn/man/var2pre.Rd rbmn/man/gema2nbn.Rd rbmn/man/mn4joint1condi.Rd rbmn/man/nbn2mn.Rd rbmn/man/state4chain.Rd rbmn/man/simulate8mn.Rd rbmn/man/adja2crossed.Rd rbmn/man/chain2mn.Rd rbmn/man/dev4mn.Rd rbmn/man/normalize8nbn.Rd rbmn/man/nb8bn.Rd rbmn/man/arcs4nbn1nbn.Rd rbmn/man/chain4chain.Rd rbmn/man/estimate8constrainednbn.Rd rbmn/man/print8mn.Rd rbmn/man/objets.Rd rbmn/man/adja2arcs.Rd rbmn/man/adja4three.Rd rbmn/man/bnfit2nbn.Rd rbmn/man/generate8chain.Rd rbmn/man/gema2mn.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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