Help! I was surfing the net looking for documentation on the relationship
between the power exponential family distribution and the internal
correlation of sets of exponential data, when I ran into one of your 'R'
pages. I'm hoping to develop a radio listening pattern model based on a
generalized gamma distribution, beginning with raw Weibull listening
durations. This package, 'R', sounds invaluable, but I cannot seem to
locate directions on how to get it! Please help.
Also, is there documentation across the rich spread of distributions offered
that suggest when one distribution may be preferred over another? For
instance, I find plentiful references in academic texts to normal-gamma
distributions (sets of normal distributions, themselves distributed such
that their precisions (inverted variances) are gamma distributed.) These
have nice properties in Bayesian conjugate families, but I've never heard of
any situation where such a distribution is applicable? So, I'd love to have
this 'R' with some quickie manual of helpful application hints -- caveat
emptor, I know, but I'd still like some idea of how these may come into play
in the real world.
Thanks for whatever you can tell me. I'm very excited about the utility
this package may have for my media research work!
Sincerely,
Mike McCoy (mike.mccoy at arbitron.com)
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