Hi: Is there a command in R (similar to hblm I guess) that would allow me to fit a clustered version of the hierarchichal bayes model, Y_ij = X_ij\beta + \delta_i + \epsilon_ij the \epsilon_ij have known variances, \delta_i ~ N(0,\tau^2) etc.. Thanks! --------------------------------- [[alternative HTML version deleted]]
Have you considered "lme"? hope this helps. spencer graves m i wrote:>Hi: > >Is there a command in R (similar to hblm I guess) that would >allow me to fit a clustered version of the hierarchichal >bayes model, > >Y_ij = X_ij\beta + \delta_i + \epsilon_ij > >the \epsilon_ij have known variances, >\delta_i ~ N(0,\tau^2) >etc.. > >Thanks! > > > > > >--------------------------------- > > > [[alternative HTML version deleted]] > >______________________________________________ >R-help at stat.math.ethz.ch mailing list >https://www.stat.math.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > >