Update manual with `devtools::document()`

DESCRIPTION

@@ -15,5 +15,5 @@ Imports:
 	linkcomm,
     parallel,
     rlist
-RoxygenNote: 7.1.2
+RoxygenNote: 7.2.3
 LinkingTo: Rcpp

man/var.relations.mfi.Rd

@@ -19,7 +19,6 @@ var.relations.mfi(
   forest = NULL,
   save.memory = FALSE,
   case.weights = NULL,
-  min.var.p = 200,
   variables,
   candidates,
   p.t = 0.01,
@@ -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)}
@@ -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.}
 }
 \value{
 a list containing:

man/var.select.mir.Rd

@@ -24,7 +24,7 @@ var.select.mir(
   case.weights = NULL,
   corr.rel = TRUE,
   t = 5,
-  method.rel = "janitza",
+  method.rel = "permutation",
   method.sel = "janitza",
   save.rel = TRUE
 )