Docs: Enhance the nloo entry.

R/cv_varsel.R

@@ -22,11 +22,11 @@
 #'   performed. See also section "Note" below.
 #' @param nloo **Caution:** Still experimental. Only relevant if `cv_method =
 #'   "LOO"`. Number of subsampled PSIS-LOO CV folds, i.e., number of
-#'   observations used for the approximate LOO CV (anything between 1 and the
-#'   original number of observations). Smaller values lead to faster computation
-#'   but higher uncertainty in the evaluation part. If `NULL`, all observations
-#'   are used, but for faster experimentation, one can set this to a smaller
-#'   value.
+#'   observations used for the approximate LOO CV (anything from 1 to the number
+#'   of all observations). Smaller values lead to faster computation but higher
+#'   uncertainty in the evaluation part. Currently, subsampled PSIS-LOO CV
+#'   should only be used for faster experimentation. If `NULL`, all observations
+#'   are used (as by default).
 #' @param K Only relevant if `cv_method = "kfold"` and if `cvfits` is `NULL`
 #'   (which is the case for reference model objects created by
 #'   [get_refmodel.stanreg()] or [brms::get_refmodel.brmsfit()]). Number of