---------------------------------------------

library(INLA)

library(npmlreg)

library(MCMCglmm)

library(DPpackage)

data(Seeds)

# Using INLA

formula = r ~ x1*x2 + f(plate, model="iid")

mod.inla = inla(formula, data=Seeds, family="binomial", Ntrials=n)

summary(mod.seeds)

# Using npmlreg

mod.ml <- alldist(cbind(r, n-r) ~ x1*x2 , random=~1, data=Seeds, family=binomial, random.distribution="gq")

summary(mod.ml)

# Using MCMCglmm

prior <- list(R=list(V=1, nu=0.002))

mod.mcmc <- MCMCglmm(cbind(r, n-r) ~ x1*x2, family="multinomial2", data=Seeds, prior=prior)

summary(mod.mcmc$Sol)

# Using DPpackage

-----------------------------------------------

I will keep updating by adding new things (estimation procedures, predictive simulations, etc.)

## 1 comment:

hi Shige!

I'd like to know if you've updated it. In fact,I'm working with a similar analysis and I'd like how I could contact with you. My email is:

mcasals@aspb.cat.

Thanks in advance,

MartÃ.

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