update docs

R/coerce_nans.R

@@ -8,7 +8,11 @@ coerce_nans.list <- function(x, to){
 
 }
 
-coerce_nans.array <- coerce_nans.matrix <- function(x, to){
+coerce_nans.factor <-
+ coerce_nans.integer <-
+ coerce_nans.double <-
+ coerce_nans.array <-
+ coerce_nans.matrix <- function(x, to){
 
  if(any(is.nan(x))){
   x[is.nan(x)] <- to

R/orsf_R6.R

@@ -441,6 +441,8 @@ ObliqueForest <- R6::R6Class(
    # object and then use this function. We need checks for that case.
    new_data <- new_data %||% self$data
 
+   # browser()
+
    # run checks before you assign new values to object.
    # otherwise, if a check throws an error, the object will
    # not be restored to its normal state.

R/orsf_predict.R

@@ -50,6 +50,11 @@
 #'   is `'mort'` for survival or `'class'` for classification, or an array of
 #'   matrices if `length(pred_horizon) > 1`.
 #'
+#' @param oobag (_logical_) If `FALSE` (the default), predictions will
+#'   be computed using all trees for each observation. If `TRUE`, then
+#'   out-of-bag predictions will be computed. This input parameter should
+#'   only be set to `TRUE` if `new_data` is `NULL`.
+#'
 #' @param na_action `r roxy_na_action_header("new_data")`
 #'
 #'   - `r roxy_na_action_fail("new_data")`