Seems there is an exact non-parametric Bayes test for mean of non-negative numbers as said on http://www.toad.net/~jkaplan2/martMean.htm<http://www.toad.net/~jkaplan2/martMean.htm#From%20bins>
I will check if R may have such package. On 12/22/06, Ben Bolker <[EMAIL PROTECTED]> wrote: > > HelponR <suncertain <at> gmail.com> writes: > > > > > Hi, Greg: > > > > Just let you know that the beta regression package in R can only work > for > > data on the open interval (0, 1) > > > > Do you know any good test of mean for beta distribution? How to verify > > if the data is beta distributed? > > > > For example, I may want to test the null : > > > > mean <= 0.0000000001 > > > > I think your idea of testing zero for nonnegative numbers makes sense. > But > > it seems to make a null hypothesis on a distribution, not simply mean. > > > > I could be bettered off if I can find a good nonparametric test which > does > > not assume symmetry or a test for beta distribution if the beta > > distribution can be verified. > > > > Many thanks, > > > > S > > Possibly contrary to what the documentation for the > beta regression package, the beta distribution has > finite density for 0 and 1 _if_ the shape parameters > are large enough/variance parameter is small enough > (but probably this is not your situation, if you > have lots of zeros). > > fitdistr() in the MASS package will give > a maximum-likelihood fit of the beta distribution > to a univariate distribution, but if you want > to calculate profile confidence limits etc. you > might want to look into the mle() function in > the stats4 package ... > > Ben Bolker > > ______________________________________________ > R-help@stat.math.ethz.ch 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. > [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch 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.
