--- a
+++ b/partyMod/man/RandomForest-class.Rd
@@ -0,0 +1,56 @@
+\name{RandomForest-class}
+\docType{class}
+\alias{RandomForest-class}
+\alias{treeresponse,RandomForest-method}
+\alias{weights,RandomForest-method}
+\alias{where,RandomForest-method}
+\alias{show,RandomForest-method}
+
+\title{Class "RandomForest"}
+\description{A class for representing random forest ensembles. }
+\section{Objects from the Class}{
+Objects can be created by calls of the form \code{new("RandomForest", ...)}.
+}
+\section{Slots}{
+	 \describe{
+    \item{\code{ensemble}:}{Object of class \code{"list"}, each element
+                           being an object of class \code{"\linkS4class{BinaryTree}"}.}
+    \item{\code{data}:}{ an object of class \code{"\linkS4class{ModelEnv}"}.}
+    \item{\code{initweights}:}{ a vector of initial weights.}
+    \item{\code{weights}:}{ a list of weights defining the sub-samples.}
+    \item{\code{where}:}{ a matrix of integers vectors of length n (number of
+                          observations in the learning sample) giving the
+                          number of the terminal node the corresponding
+                          observations is element of (in each tree).}
+    \item{\code{data}:}{ an object of class \code{"\linkS4class{ModelEnv}"}.}
+    \item{\code{responses}:}{ an object of class \code{"VariableFrame"}
+                              storing the values of the response variable(s). }
+    \item{\code{cond_distr_response}:}{ a function computing the conditional
+                                        distribution of the response. }
+    \item{\code{predict_response}:}{ a function for computing predictions. }
+    \item{\code{prediction_weights}:}{ a function for extracting weights from
+                                     terminal nodes. }
+    \item{\code{get_where}:}{ a function for determining the number
+        of terminal nodes observations fall into. }
+    \item{\code{update}:}{ a function for updating weights.}
+  }
+}
+\section{Methods}{
+  \describe{
+    \item{treeresponse}{\code{signature(object = "RandomForest")}: ... }
+    \item{weights}{\code{signature(object = "RandomForest")}: ... }
+    \item{where}{\code{signature(object = "RandomForest")}: ... }
+	 }
+}
+\examples{
+
+    set.seed(290875)
+
+    ### honest (i.e., out-of-bag) cross-classification of 
+    ### true vs. predicted classes
+    data("mammoexp", package = "TH.data")
+    table(mammoexp$ME, predict(cforest(ME ~ ., data = mammoexp, 
+                               control = cforest_unbiased(ntree = 50)), 
+                               OOB = TRUE))
+}
+\keyword{classes}