search for: guassian

Hi Folks, Apologies to anyone who'd prefer not to see this query on this list; but I'm asking because it is probably the forum where I'm most likely to get a good answer! I'm interested in the provenance of the name "normal distribution" (for what I'd really prefer to call the "Gaussian" distribution). According to Wikipedia, "The name "normal

...: would you please help me with the following glm question? for the R function glm, what I understand is: once you specify the "family", then the link function is fixed. My question is: is it possible I use, for example, "log" link function, but the estimation approach for the guassian family? Thanks, Shuangge Ma, Ph.D. ******************************************** * CHSCC, Department of Biostatistics * * University of Washington * * Building 29, Suite 310, 6200 NE 74th ST. * * Seattle, WA 98115 * * Tel: 206-685-7123 Fax: 206-616-4075...

Hi I went through some extensive search to find suitable method (package, function) to fit multiple peaks. The best I found is ALS package but it requires rather complicated input structure probably resulting from GC-MS experimental data and seems to be an overkill to my problem. I have basically simple two column data frame with columns time and sig dput(temp) structure(list(time = c(33, 34,

Greetings! I am looking for advice regarding the best way to compare GAMMs. I know other model outputs return enough information for R's AIC, ANOVA, etc. commands to function, but this is not the case with GAMM unless one specifies the gam or lme portion. I know these parts of the gamm contain items that will facilitate comparisons between gamms. Is it correct to simply use these values

Dear All, I wonder if anyone can advise me as to whether there is a consensus as to how the effect size should be calculated from GLIM models in R for any specified significant main effect or interaction. In investigating the causes of variation in infection in wild animals, we have fitted 4-way GLIM models in R with negative binomial errors. These are then simplified using the STEP procedure,

...nking about the lme and gam portions of gamms is > incorrect? If this appears to be the case, let me know! In general, if > someone could clarify my understanding in any way it would be much > appreciated. [[elided Yahoo spam]] > Sincerely, > Paul Simonin Hi Paul, Are your GAMMs Guassian (i.e. AMM) or non-Gaussian? If they are Gaussian, then anova(mod1$lme, mod2$lme) gives an approximate LRT for the two models. That will also yield AIC and BIC which might also be used for inference. Your AMM in this case is just a linear mixed model and these usual forms of inference apply, with...