search for: dpglmm

...request 2GB of virtual ram from c drive, therefore totally I have 4GB of ram. Before I open R workshop, I also add "C:\Program Files\R\R-2.5.0\bin\Rgui.exe" --max-mem-size=3000Mb--max-vsize=3000Mb" into the target of R by right clicking the R icon-properties. I am running a program (DPglmm), which is built in DPpackage. The program is running, but at the final stage, R generates an error message 'Error: cannot allocate vector of size 309.9 Mb' My code and output is as follows. > memory.limit(size=4000) NULL > fit0 <- DPglmm(fixed=Bpov~1,random=~1|cluster,data=MyDa...

...g Bernstein-Dirichlet prior). The first two functions allow uni- and multi-variate analysis. 2) Nonparametric random effects distributions in mixed effects models: 2.1) DPlmm and DPMlmm, using a DP/MDP and DPM of normals prior, respectively, for the linear mixed effects model. 2.2) DPglmm and DPMglmm, using a DP/MDP and DPM of normals prior, respectively, for generalized linear mixed effects models, respectively. The sampling(link) considered by these functions are binomial(logit,probit), poisson(log) and gamma(log). 2.3) DPolmm and DPMolmm, using a DP/MDP and DPM of norm...

...g Bernstein-Dirichlet prior). The first two functions allow uni- and multi-variate analysis. 2) Nonparametric random effects distributions in mixed effects models: 2.1) DPlmm and DPMlmm, using a DP/MDP and DPM of normals prior, respectively, for the linear mixed effects model. 2.2) DPglmm and DPMglmm, using a DP/MDP and DPM of normals prior, respectively, for generalized linear mixed effects models, respectively. The sampling(link) considered by these functions are binomial(logit,probit), poisson(log) and gamma(log). 2.3) DPolmm and DPMolmm, using a DP/MDP and DPM of norm...