# Comparison of results

December 4, 2010
By

(This article was first published on Shige's Research Blog, and kindly contributed to R-bloggers)

I am doing a simple comparison of different estimation procedures in dealing with a simple binomial model. Here is where I got started:
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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

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

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