search for: juansan

Dear R users: I am using lmer fo fit binomial data with a probit link function: > fer_lmer_PQL<-lmer(fer ~ gae + ctipo + (1|perm) -1, + family = binomial(link="probit"), + method = 'PQL', + data = FERTILIDAD, + msVerbose= True) The output look like this: > fer_lmer_PQL Generalized linear mixed model fit

Dear R users: I am using the glm function in order to analysis data on fertility of rabbit females, the response variable are either 1, the female became pregnant, or 0, she does not. I am using the probit link function. Actually I have several measurement per female, thus it would be nice if I can include a random permanent effect of female in the model. I order to take into account for the

Dear R users: I am using the package coda (the last verison in CRAN) to analyse the output from a MCMC Bayesian analysis. And I get unconsitented results. I have export the chain using the read.table function and after I have transformed this data frame to an mcmc object using the mcmc function. I am interested in three variables, when I use the function effectiveSize I have these figures: