@@ -58,8 +57,6 @@ classification mode is used). For survival forests this is the time variable.}
\item{case.weights}{Weights for sampling of training observations. Observations with larger weights will be selected with higher probability in the bootstrap (or subsampled) samples for the trees.}
\item{min.var.p}{minimum number of permuted variables used to determine p-value. Default is 200.}
\item{variables}{variable names (string) for which related variables should be searched for (has to be contained in allvariables)}
\item{candidates}{vector of variable names (strings) that are candidates to be related to the variables (has to be contained in allvariables)}
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@@ -68,7 +65,7 @@ classification mode is used). For survival forests this is the time variable.}
\item{select.rel}{set False if only relations should be calculated and no related variables should be selected.}
\item{method}{Method to compute p-values. Use "janitza" for the method by Janitza et al. (2016) or "permutation" to utilize importance values of permuted variables.}
\item{method}{Method to compute p-values. Use "janitza" for the method by Janitza et al. (2016) or "permutation" to utilize permuted relations.}