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> On Aug 22, 2026, at 4:38 PM, David Winsemius <[email protected]> wrote: > > The point estimates for regression should be the same although the CI's for > the MCMC methods might be wider (more conservative if that is what you mean > by "more accurate"). I I was misinterpreting the summary output of mcexact. The glm coefficients are not supposed to be estimates. The function is only doing a gof test. David Winsemius > > I was able to install Brian Caffo's archived 'exactLoglinTest' package for my > MacOS system with R 4.6.1 after adding: > > > CPPFLAGS += > -I/Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/include > > to my .R/Makevars file. That allows the compilation step to find PrtUtil.h > from an earlier version of R since it has been folded into R 4.6.x rather > than currently being exposed. > > The Notes that Caffo chose not to fix did not cause any errors, at least to > my minimal testing with the package's examples. > > Best; > > David Winsemius, MD, MPH > >> On Aug 21, 2026, at 1:21 AM, iagogv via R-help <[email protected]> wrote: >> >> Hi all, >> >> Can an exact Poisson regression be computed with R, instead of using the >> standard (glm) Poisson using maximum likelihood? >> >> I am working with a collegue in a project, and I'd like to reproduce his >> method, if not his results. He uses Stata, particularly the expoisson >> function (https://www.stata.com/help.cgi?expoisson) in order to compute >> the exact Poisson regression, relevant for small samples. >> >> expoisson fits an exact Poisson regression model, which produces more >> accurate inference in small samples than standard >> maximum-likelihood-based Poisson regression >> >> I know about exact Poisson tests >> (https://stat.ethz.ch/R-manual/R-devel/RHOME/library/stats/html/poisson.test.html), >> but it does not allow to include offset. >> >> So, is there some way to reproduce exact Poisson regression with R? >> >> Thanks! >> >> Best, >> >> -- >> Iago >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> [email protected] mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide https://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > [email protected] mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide https://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
