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Multithreading/parallelization for MGCV summary function
I am fitting a gam using the MGCV package in R with the bam function (~60,000 samples) using 3 fixed effects and one random effect. The number of factors for the random effect is very high (several th...
geedigit
Votes: 0
Answers: 0
Species-by-year random effects in a GLMM (point count data)
SUMMARY
I'm analyzing avian point count data using glmmTMB.
I'm trying to estimate year-specific mean abundance for each species.
Models with interactions of fixed terms are not working, I think bec...
G. Channing
Votes: 0
Answers: 0
Why are the results of the gamm4 function of the gamm4 package different from the standard error displayed by $mer and $gam?
id:268levels
group:10levels
I used the gamm4 function of the package gamm4 to fit the following model.
gamm4_1 <- gamm4(y~z1+z2+z3+age+height+time+bmi,random=~(1|id)+(1|group),data=data,family=bino...
thi
Votes: 0
Answers: 0
mgcv::k.check equivalent for GAM in brms
I am doing HGAM with the brm function (brms package). For now, I kept the default k = 10, but I want to know if I should set k higher. I know that the function k.check in the mgcv package does that di...
Julien Beaulieu
Votes: 0
Answers: 0