# Shige's Research Blog

## Saturday, December 25, 2010

### Maximum Likelihood Estimation and Inference: With examples in R, SAS and ADMB

As the first textbook on ADMB, this book is highly expected.

## Friday, December 17, 2010

### Where to find good data sets

This post provides some good information on where to find good data sets for statistical analysis.

## Thursday, December 09, 2010

### Programming languages on the rise

This post list seven programming languages that are rising, from Python to Ruby to R to... Cobol.

## Monday, December 06, 2010

### Very interesting blog

That is a very interesting blog on R + LaTeX + Sweave!

## Saturday, December 04, 2010

### Comparison of results

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.)

## Wednesday, December 01, 2010

### Eee Note

Asus's Eee Note looks interesting.