search for: bage

Hi, First, thanks to those who helped me see my gross misunderstanding of randomForest. I worked through a baging tutorial and now understand the "many tree" approach. However, it is not what I want to do! My bagged errors are accpetable but I need to use the actual tree and need a single tree application. I am using rpart for a classification tree but am interested in a more unbaised

.... I guess the model would have the following form (in hierarchical notation) Yi|bi,k ~ N(XiB+Zibi, sigmak*Ident) bi|k ~ N(0, Dk) K~Bernoulli(p) I can obtain different sigmas (sigma0 and sigma1 based on the factor 'dx') using the weights option in the call to lme: lme(fixed = height ~ -1 + bage + mat_ht + pat_ht + dx + time:dx + time2:dx , weights=varIdent(form=~1|dx), random = ~ time + time2 |subject, data = pilot, na.action=na.omit) but I cannot seem to be able to get two different matrices for the random effects. I'm particularly intereste...