doc: Re-run devtools::document()

man/var.relations.Rd

@@ -36,7 +36,7 @@ classification mode is used). For survival forests this is the time variable.}
 
 \item{type}{mode of prediction ("regression", "classification" or "survival"). Default is regression.}
 
-\item{s}{predefined number of surrogate splits (it may happen that the actual number of surrogate splits differs in individual nodes). Default is 1 \% of no. of variables.}
+\item{s}{predefined number of surrogate splits (it may happen that the actual number of surrogate splits differs in individual nodes). Default is 1 \\% of no. of variables.}
 
 \item{mtry}{number of variables to possibly split at in each node. Default is no. of variables^(3/4) ("^3/4") as recommended by (Ishwaran 2011). Also possible is "sqrt" and "0.5" to use the square root or half of the no. of variables.}
 
@@ -48,7 +48,7 @@ classification mode is used). For survival forests this is the time variable.}
 
 \item{save.ranger}{set TRUE if ranger object should be saved. Default is that ranger object is not saved (FALSE).}
 
-\item{create.forest}{Default: TRUE if `forest` is NULL, FALSE otherwise. Whether to create or use an existing forest.}
+\item{create.forest}{Default: TRUE if \code{forest} is NULL, FALSE otherwise. Whether to create or use an existing forest.}
 
 \item{forest}{the random forest that should be analyzed}
 

man/var.relations.mfi.Rd

@@ -37,7 +37,7 @@ classification mode is used). For survival forests this is the time variable.}
 
 \item{type}{mode of prediction ("regression", "classification" or "survival"). Default is regression.}
 
-\item{s}{predefined number of surrogate splits (it may happen that the actual number of surrogate splits differs in individual nodes). Default is 1 \% of no. of variables.}
+\item{s}{predefined number of surrogate splits (it may happen that the actual number of surrogate splits differs in individual nodes). Default is 1 \\% of no. of variables.}
 
 \item{mtry}{number of variables to possibly split at in each node. Default is no. of variables^(3/4) ("^3/4") as recommended by (Ishwaran 2011). Also possible is "sqrt" and "0.5" to use the square root or half of the no. of variables.}
 
@@ -49,7 +49,7 @@ classification mode is used). For survival forests this is the time variable.}
 
 \item{save.ranger}{set TRUE if ranger object should be saved. Default is that ranger object is not saved (FALSE).}
 
-\item{create.forest}{Default: TRUE if `forest` is NULL, FALSE otherwise. Whether to create or use an existing forest.}
+\item{create.forest}{Default: TRUE if \code{forest} is NULL, FALSE otherwise. Whether to create or use an existing forest.}
 
 \item{forest}{the random forest that should be analyzed}
 

man/var.select.md.Rd

@@ -41,7 +41,7 @@ classification mode is used). For survival forests this is the time variable.}
 
 \item{save.ranger}{Set TRUE if ranger object should be saved. Default is that ranger object is not saved (FALSE).}
 
-\item{create.forest}{Default: TRUE if `forest` is NULL, FALSE otherwise. Whether to create or use an existing forest.}
+\item{create.forest}{Default: TRUE if \code{forest} is NULL, FALSE otherwise. Whether to create or use an existing forest.}
 
 \item{forest}{the random forest that should be analyzed.}
 

man/var.select.mir.Rd

@@ -40,7 +40,7 @@ classification mode is used). For survival forests this is the time variable.}
 
 \item{type}{mode of prediction ("regression", "classification" or "survival"). Default is regression.}
 
-\item{s}{predefined number of surrogate splits (it may happen that the actual number of surrogate splits differs in individual nodes). Default is 1 \% of no. of variables.}
+\item{s}{predefined number of surrogate splits (it may happen that the actual number of surrogate splits differs in individual nodes). Default is 1 \\% of no. of variables.}
 
 \item{mtry}{number of variables to possibly split at in each node. Default is no. of variables^(3/4) ("^3/4") as recommended by (Ishwaran 2011). Also possible is "sqrt" and "0.5" to use the square root or half of the no. of variables.}
 

man/var.select.smd.Rd

@@ -32,7 +32,7 @@ classification mode is used). For survival forests this is the time variable.}
 
 \item{type}{mode of prediction ("regression", "classification" or "survival"). Default is regression.}
 
-\item{s}{predefined number of surrogate splits (it may happen that the actual number of surrogate splits differs in individual nodes). Default is 1 \% of no. of variables.}
+\item{s}{predefined number of surrogate splits (it may happen that the actual number of surrogate splits differs in individual nodes). Default is 1 \\% of no. of variables.}
 
 \item{mtry}{number of variables to possibly split at in each node. Default is no. of variables^(3/4) ("^3/4") as recommended by (Ishwaran 2011). Also possible is "sqrt" and "0.5" to use the square root or half of the no. of variables.}
 
@@ -44,7 +44,7 @@ classification mode is used). For survival forests this is the time variable.}
 
 \item{save.ranger}{set TRUE if ranger object should be saved. Default is that ranger object is not saved (FALSE).}
 
-\item{create.forest}{Default: TRUE if `forest` is NULL, FALSE otherwise. Whether to create or use an existing forest.}
+\item{create.forest}{Default: TRUE if \code{forest} is NULL, FALSE otherwise. Whether to create or use an existing forest.}
 
 \item{forest}{the random forest that should be analyzed}