Greetings all,
I am trying to use Deal to learn a Bayesian Network for discrete data. I
came across the following problem with jointprior function.
>library(deal)
> a <- read.csv("prepared.cluster1.csv")
> fit <- network(a)
> fit.prior <- jointprior(fit)
Error in array(1, Dim) : 'dim' specifies too large an array
I have tried debugging array and still can't fully understand what the
problem is all about.
For further information regarding my data (prepared.cluster1.csv) , I have
77 columns vs 77 rows. Data are in the form of factor (3 levels of -1,0,1).
I also have provided a self-contained example.
Any comments are highly appreciated.
--
Suhaila Zainudin
PhD Candidate
Universiti Teknologi Malaysia
______________________________________________
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.
