[R--gR] deal: heuristic search lowers the score?

[Sam Steingold]

Hi,
I noticed that the network created by heuristic() has lower score than
the one created by autosearch():

prior <- jointprior(net,nrow(df)*10)
search <- autosearch(net,df,prior,timetrace=TRUE,removecycles=TRUE)
heuristic <- heuristic(getnetwork(search),df,trylist=gettrylist(search))
score(getnetwork(search))
[1] 378.5992
score(getnetwork(heuristic))
[1] 357.014
why?  does this mean that the score is actually the _negative_ of log
likelihood?

also, it is not clear what the relscore is.


PS. I read the paper and the manual...

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Sam Steingold (http://www.podval.org/~sds) on Fedora Core release 4 (Stentz)
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