search for: missquick

...o The predict() method has an option to return predictions by the component trees. o There is a new getTree() function for looking at one of the trees in the forest. o For dealing with missing values in the predictor variables, there are na.roughfix() and rfImpute(), which correspond to the `missquick' and `missright' options in Breiman's V4/V5 code. Both works for classification as well as regression. o There is an experimental bias reduction step in regression (the corr.bias argument in randomForest) that could be very effective for some data (but essentially no effect for some...

...o The predict() method has an option to return predictions by the component trees. o There is a new getTree() function for looking at one of the trees in the forest. o For dealing with missing values in the predictor variables, there are na.roughfix() and rfImpute(), which correspond to the `missquick' and `missright' options in Breiman's V4/V5 code. Both works for classification as well as regression. o There is an experimental bias reduction step in regression (the corr.bias argument in randomForest) that could be very effective for some data (but essentially no effect for some...