1. Have you considered "try"?
2. If you provide a simple example that illustrates the problem, it is
easier for others to help.
spencer graves
Ken Nip wrote:
The data set that I am looking at consists of thousands
of n.samples-by-p.variables multivariate data sets containing missing
data. For each data set I would like to impute missing data using DA
method, so I've decided to explore and use a loop. Unfortunately, I am
having not much of a success with DA within a large 'for' loop. I am
having convergence problem for the starting values (created by either
bootstrap or parallel chains) at some point within the loop. I have
checked that it wasn't the case when I manually run DA on the data sets
which caused the non-convergence. I wonder whether I shouldn't use DA
within a loop at all or is there something else I should be made aware
off. Has anyone came across with a similar problem before? Any
recommendations would be great.
Thanks in advance.
Ken Nip
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