deal-internal: deal internal functions
In deal: Learning Bayesian Networks with Mixed Variables

deal-internal

R Documentation

deal internal functions

Description

These are functions internally called by other functions in the package deal and not meant to be called by the user.

Usage

printline(s="-",n=60)

post   (mu,tau,rho,phi,y,z,timetrace=FALSE) 
postc  (mu,tau,rho,phi,y,z,timetrace=FALSE) 
postcc (mu,tau,rho,phi,y,z,timetrace=FALSE) 
post0  (mu,tau,rho,phi,y,timetrace=FALSE) 
postc0c(mu,tau,rho,phi,y,timetrace=FALSE) 

learnnode(node,nw,df,prior=jointprior(nw),timetrace=FALSE)
udisclik(node,nw,df)

addrandomarrow(nw,data,prior,trylist=vector("list",size(nw)),nocalc=FALSE,
               timetrace=FALSE)
turnrandomarrow(nw,data,prior,trylist=vector("list",size(nw)),nocalc=FALSE,
               timetrace=FALSE)
deleterandomarrow(nw,data,prior,trylist=vector("list",size(nw)),nocalc=FALSE,
               timetrace=timetrace)

addarrows(nw, node, data, prior,trylist=vector("list",size(nw)))

addarrow   (nw,df,prior,trylist=vector("list",size(nw))) 
turnarrow  (nw,df,prior,trylist=vector("list",size(nw))) 
removearrow(nw,df,prior,trylist=vector("list",size(nw))) 

cycletest(nw)
findleaf (nw) 

conditional.cont(A,mu,nu,rho,phi) 
conditional(A,master,nw) 
conditional.disc(A,master) 
cond.node(node,nw,nw.prior=jointprior(nw)) 

elementin(nw,nwl)

findex (i, dim, config=TRUE)

jointdisc(nw,timetrace=FALSE)
jointcont(nw,timetrace=FALSE)

localmaster(family,nw,prior=jointprior(nw))

postdist(nw) 
postdist.node(nd,nw,vtype = "mode")

nwequal(nw1,nw2)

inspectprob(nw,unitscale=20,cexscale=8,
            arrowlength=.25,xr=c(0,350),yr=xr,...)