tighten up examples for debian runtime requirement

CRAN-SUBMISSION

@@ -1,3 +1,3 @@
-Version: 0.1.1
-Date: 2023-10-26 00:50:30 UTC
-SHA: 2370ef886ef428f16bde1d99ea5d527cb5b61e93
+Version: 0.1.2
+Date: 2024-01-11 14:20:18 UTC
+SHA: 48469549668880b518502d598e4f56765bf4ef1d

R/melt_aorsf.R

@@ -1,5 +1,5 @@
 
-# need to make this to avoid possible memory leak in data.table melt
+# avoid possible memory leak in data.table melt
 
 melt_aorsf <-
  function(data,

R/orsf.R

@@ -442,7 +442,7 @@ orsf_train <- function(object, attach_data = TRUE){
 #'
 #' # specify but do not train the model by setting no_fit = TRUE.
 #' object <- orsf(pbc_orsf, Surv(time, status) ~ . - id,
-#'                n_tree = 500, n_thread = 1, no_fit = TRUE)
+#'                n_tree = 10, no_fit = TRUE)
 #'
 #' # approximate the time it will take to grow 500 trees
 #' time_estimated <- orsf_time_to_train(object)

R/orsf_summary.R

@@ -45,13 +45,13 @@
 #' # used for ranking variables in the summary, unless we specify
 #' # a different type of importance
 #'
-#' orsf_summarize_uni(object)
+#' orsf_summarize_uni(object, n_variables = 2)
 #'
 #' # if we want to summarize object according to variables
 #' # ranked by negation importance, we can compute negation
 #' # importance within orsf_summarize_uni() as follows:
 #'
-#' orsf_summarize_uni(object, n_variables = 3, importance = 'negate')
+#' orsf_summarize_uni(object, n_variables = 2, importance = 'negate')
 #'
 #'
 orsf_summarize_uni <- function(object,
@@ -90,9 +90,9 @@ orsf_summarize_uni <- function(object,
 #'
 #' @examples
 #'
-#' object <- orsf(pbc_orsf, Surv(time, status) ~ . - id)
+#' object <- orsf(pbc_orsf, Surv(time, status) ~ . - id, n_tree = 25)
 #'
-#' smry <- orsf_summarize_uni(object, n_variables = 3)
+#' smry <- orsf_summarize_uni(object, n_variables = 2)
 #'
 #' print(smry)
 #'
@@ -272,9 +272,9 @@ print.orsf_summary_uni <- function(x, n_variables = NULL, ...){
 #'
 #' library(data.table)
 #'
-#' object <- orsf(pbc_orsf, Surv(time, status) ~ . - id)
+#' object <- orsf(pbc_orsf, Surv(time, status) ~ . - id, n_tree = 25)
 #'
-#' smry <- orsf_summarize_uni(object, n_variables = 3)
+#' smry <- orsf_summarize_uni(object, n_variables = 2)
 #'
 #' as.data.table(smry)
 #'