[R] binom package (was: no subject)
spencerg
spencer.graves at prodsyse.com
Tue May 19 23:26:56 CEST 2009
There are 17 different help pages in 5 different packages citing
"Agresti and Coull". This is quickly displayed using the "RSiteSearch"
package as follows:
library(RSiteSearch)
HTML(RSiteSearch.function("Agresti and Coull"))
I have not checked all these 17, but they doubtless help explain
Agresti and Coull's point that the term "exact confidence interval" is
like a lot of terms in Marketing: The substance falls far short of the
hype for most purposes.
Hope this helps.
Spencer Graves
Douglas Bates wrote:
> On Mon, May 18, 2009 at 9:22 AM, Thomas Lumley <tlumley at u.washington.edu> wrote:
>
>> On Mon, 18 May 2009, Debbie Zhang wrote:
>>
>
>
>>> Based on a set of binomial sample data, how would you utilize the "nlm"
>>> function in R to estimate the true proportion of the population?
>>>
>
>
>> I can't see why anyone would want to use nlm() for this. The sample
>> proportion is the MLE, and binom.test() gives an exact confidence interval.
>>
>
> Homework exercise intended to teach the use of optimization when you
> can separately work out what the answer should be?
>
> And, as you probably know, the exact confidence interval from
> binom.test is not as "good" as the approximate interval described by
> Agresti and B.A. Coull in a 1998 American Statistician article. (The
> coverage of the exact interval is at least the nominal value but it
> can be greater because the binomial is discrete.)
>
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