search for: elrm

Hi I am a new R user and I did try elrm package to do Exact Logistic regression for my dataset ( about 170 patients with a binary dependent variable against age and 6 other binary covariates), I did not have n column because it was about individuals, I made n column with 1 for each individual, here is my code and result: > > ###...

Hello to R people Does anybody know to calculate exact logistic regression in R? Does such option exist anywhere? Surprisingly, could not find it using search engine. It is hard to believe, however, that such useful function is not implemented in R yet? Could you help, please Thank you Denis

...models based on whether prior intent was to vote or not to vote. The details don't really matter. Mostly I am curious how to run a Markov chain transition model in R, estimating different coefficients for two prior conditions. I have tried installing and running numerous packages, including elrm and MCMC, but I don't think this calls for Monte Carlo simulation. (The transition matrix in this case, after all, would be only 2 x 2, and the models are pretty simple). If someone could point me in the right direction I would greatly appreciate it.... ES [[alternative HTML version delete...

...____________ Tomas Aragon, MD, DrPH -----old post 2002 end------------ At that time, the answers were not too encouraging. Anyway, I might have the very same query 2008. Ok, I tried to do some homework and started to look for packages maybe implementing different methods. I did run across 'elrm' (Zamar, D., McNeney, B. & Graham, J., 2007), but I am unsure whether this package is appropriate for my original 1:3 matched design. - ---Blah blah part end-------- - ---Questions, finally!--- So my questions to you are: 1) Is the problem I describe above likely related to small sample...

....2-4), ctv (0.6-0), cudaBayesreg (0.3-6), dagR (1.1.1), data.table (1.4.1), dclone (1.1-0), ddesolve (1.04), denstrip (1.5), depmixS4 (0.9-0), DiceKriging (1.1), difR (3.1), distr (2.2.3), diveMove (1.0), dlnm (1.2.4), doBy (4.0.6), doMC (1.2.1), dplR (1.3.5), drc (1.9-3), dti (0.9-2), eba (1.5-7), elrm (1.2.1), emplik2 (1.10), ensembleBMA (4.5), epicalc (2.11.1.0), epitools (0.5-6), eqtl (1.1), eRm (0.13-0), exact2x2 (1.0-1), exactci (1.1-0), extremevalues (2.1), fame (2.9), favir (0.4-1), fda (2.2.2), fields (6.3), fingerprint (3.3.1), fitdistrplus (0.1-3), flexmix (2.2-7), forecast (2.05), fore...