Hi Marco, Thanks for the clarification. For my immediate purposes I think using the likelihood weighting method will suffice. I'm calculating conditional probabilities based on a single instantiation each time I use the function. The evidence I use for instantiation changes for each i+1 in my loop, and a new probability is computed using the new evidence. Since I'm using a single instantiation of the conditioning variables for each calculation in my loop, I believe the likelihood weighting method will work. Don't hesitate to correct me if I'm wrong.
Thanks, --- Ryan On Oct 11, 2013, at 1:25 PM, Marco Scutari <marco.scut...@gmail.com> wrote: > Dear Ryan, > > On 11 October 2013 16:50, Ryan Morrison <ryan.r.morri...@me.com> wrote: >> The cpquery function is definitely easier to use given that my evidence is >> contained in lists. > > For the record, this is not a general solution to the bug. It's true > that likelihood weighting (method = "lw") is easier to use in a > programmatic way, but it is much more limited in the events you can > use for conditioning. Logic sampling (method = "ls") accepts an > arbitrary R expression as a conditioning event; likelihood weighting > at the moment accepts only a single instantiation of the conditioning > variables. > > Cheers, > Marco > > -- > Marco Scutari, Ph.D. > Research Associate, Genetics Institute (UGI) > University College London (UCL), United Kingdom ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
