nikolay12
2009-Jul-28 07:54 UTC
[R] R package for Hierarchical Modelling of Multinomial Logistic Regression
Hello, I need to implement a hierarchical model for Bayesian multinomial logistic regression (also known as polytomous logistic regression). I plan to use Gaussian priors. I have about 800 variables which are mostly dichotomous. Some are integer valued. What R package would you recommend? thanks, Nick -- View this message in context: http://www.nabble.com/R-package-for-Hierarchical-Modelling-of-Multinomial-Logistic-Regression-tp24694202p24694202.html Sent from the R help mailing list archive at Nabble.com.
Kingsford Jones
2009-Jul-28 17:43 UTC
[R] R package for Hierarchical Modelling of Multinomial Logistic Regression
See the Bayesian Task View http://cran.r-project.org/web/views/Bayesian.html which will lead you to the arm and bayesm packages, among others. hth, Kingsford On Tue, Jul 28, 2009 at 1:54 AM, nikolay12<nikolay12 at gmail.com> wrote:> > Hello, > > I need to implement a hierarchical model for Bayesian multinomial logistic > regression (also known as polytomous logistic regression). I plan to use > Gaussian priors. I have about 800 variables which are mostly dichotomous. > Some are integer valued. > > What R package would you recommend? > > thanks, > > Nick > -- > View this message in context: http://www.nabble.com/R-package-for-Hierarchical-Modelling-of-Multinomial-Logistic-Regression-tp24694202p24694202.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >