(This article was first published on

**Xi'an's Og » R**, and kindly contributed to R-bloggers)**I** received the following email about ** Introducing Monte Carlo Methods with R** a few days ago:

Hallo Dr. Robert,

I am studying your fine book for myself. There´s a little problem in examples 7.17 and 8.1: in the R code a function “

gu” is used and a reference given to ex. 5.17, but I cann´t find there a definition of “gu“. (gu = log formula (5.15)?) Could you give me a hint?

from Elmar Kisslinger. Indeed, the *gu* function used in this analysis of the logit model is not available in the book, it is provided by

#function for MCMC gu=function(mu,i,beta,sigma){ sum((y[i,]*(beta*x[i,]+mu))-log(1+exp(beta*x[i,]+mu)))-0.5*mu^2/sigma^2 }

and is only available in the associated mcsm R package as part of the *randogit.R* code. (Incidentally, this is my 1500th post on the ‘Og! And this coincides with the 3000th comment…)

Filed under: Books, R, Statistics, University life Tagged: Introducing Monte Carlo Methods with R, mcsm

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