\HeaderA{internal}{internal functions}{internal}
\aliasA{bum.dalt}{internal}{bum.dalt}
\aliasA{bum.EM}{internal}{bum.EM}
\aliasA{bum.histogram}{internal}{bum.histogram}
\aliasA{bum.mle}{internal}{bum.mle}
\aliasA{bum.negLogLik}{internal}{bum.negLogLik}
\aliasA{bum.palt}{internal}{bum.palt}
\aliasA{bum.qalt}{internal}{bum.qalt}
\aliasA{bum.ralt}{internal}{bum.ralt}
\aliasA{connectModules}{internal}{connectModules}
\aliasA{createBN}{internal}{createBN}
\aliasA{data.likelihood}{internal}{data.likelihood}
\aliasA{dbum}{internal}{dbum}
\aliasA{effect.likelihood}{internal}{effect.likelihood}
\aliasA{encode.interventions}{internal}{encode.interventions}
\aliasA{enumerate.models2}{internal}{enumerate.models2}
\aliasA{erase.cycles}{internal}{erase.cycles}
\aliasA{exhaustive\_BN}{internal}{exhaustive.Rul.BN}
\aliasA{fit.BN}{internal}{fit.BN}
\aliasA{fitBUM}{internal}{fitBUM}
\aliasA{FULLmLL}{internal}{FULLmLL}
\aliasA{getComponent}{internal}{getComponent}
\aliasA{graychange}{internal}{graychange}
\aliasA{ingreed\_BN}{internal}{ingreed.Rul.BN}
\aliasA{inv.logit}{internal}{inv.logit}
\aliasA{is.dag}{internal}{is.dag}
\aliasA{learn}{internal}{learn}
\methaliasA{learn.conditionals}{internal}{learn.conditionals}
\aliasA{logit}{internal}{logit}
\aliasA{mLL}{internal}{mLL}
\aliasA{moduleNetwork}{internal}{moduleNetwork}
\methaliasA{moduleNetwork.aux}{internal}{moduleNetwork.aux}
\aliasA{nem.BN}{internal}{nem.BN}
\aliasA{nem.featureselection}{internal}{nem.featureselection}
\aliasA{nem.greedy}{internal}{nem.greedy}
\aliasA{nem.greedyMAP}{internal}{nem.greedyMAP}
\aliasA{optimizecoregraph}{internal}{optimizecoregraph}
\aliasA{optimizemarginal}{internal}{optimizemarginal}
\methaliasA{optimizemarginal.nuInf}{internal}{optimizemarginal.nuInf}
\aliasA{pairwise.posterior}{internal}{pairwise.posterior}
\aliasA{parameters\_continuous\_Bayesian}{internal}{parameters.Rul.continuous.Rul.Bayesian}
\aliasA{parameters\_continuous\_ML}{internal}{parameters.Rul.continuous.Rul.ML}
\aliasA{parameters\_discrete\_Bayesian}{internal}{parameters.Rul.discrete.Rul.Bayesian}
\aliasA{parameters\_discrete\_ML}{internal}{parameters.Rul.discrete.Rul.ML}
\aliasA{pbum}{internal}{pbum}
\aliasA{PhiDistr}{internal}{PhiDistr}
\aliasA{qbum}{internal}{qbum}
\aliasA{qqbum}{internal}{qqbum}
\aliasA{rbum}{internal}{rbum}
\aliasA{sample.effect.likelihood}{internal}{sample.effect.likelihood}
\aliasA{sample.likelihood}{internal}{sample.likelihood}
\aliasA{score}{internal}{score}
\methaliasA{score.network}{internal}{score.network}
\aliasA{score\_BN}{internal}{score.Rul.BN}
\aliasA{score\_continuous\_Bayesian}{internal}{score.Rul.continuous.Rul.Bayesian}
\aliasA{score\_continuous\_ML}{internal}{score.Rul.continuous.Rul.ML}
\aliasA{score\_discrete\_Bayesian}{internal}{score.Rul.discrete.Rul.Bayesian}
\aliasA{score\_discrete\_ML}{internal}{score.Rul.discrete.Rul.ML}
\aliasA{sim.interventions}{internal}{sim.interventions}
\aliasA{triples.posterior}{internal}{triples.posterior}
\aliasA{which.is.max}{internal}{which.is.max}
\keyword{models}{internal}
\begin{Description}\relax
internal functions: do not call these functions directly.
\end{Description}
\begin{Usage}
\begin{verbatim}
        various
\end{verbatim}
\end{Usage}
\begin{Arguments}
various
\end{Arguments}
\begin{Value}
various
\end{Value}
\begin{Author}\relax
Holger Froehlich
\end{Author}

