Package check result: ERROR

Check: CRAN incoming feasibility, Result: NOTE
  Maintainer: ‘Patrick Schratz <patrick.schratz@gmail.com>’
  
  New submission
  
  Package was archived on CRAN
  
  Possibly misspelled words in DESCRIPTION:
    JSS (18:16)
    STAC (16:37, 16:67)
    Spatiotemporal (2:8)
    mlr (14:26)
    spatio (15:5)
    spatiotemporal (16:5)
  
  CRAN repository db overrides:
    X-CRAN-Comment: Archived on 2025-08-25 as errors were not corrected
      in time.

Check: examples, Result: ERROR
  Running examples in ‘mlr3spatiotempcv-Ex.R’ failed
  The error most likely occurred in:
  
  > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
  > ### Name: mlr_resamplings_repeated_spcv_knndm
  > ### Title: (CAST) Repeated K-fold Nearest Neighbour Distance Matching
  > ### Aliases: mlr_resamplings_repeated_spcv_knndm
  > ###   ResamplingRepeatedSpCVKnndm
  > 
  > ### ** Examples
  > 
  > if (requireNamespace(c("mlr3spatial", "mlr3"))) {
  +   library(mlr3)
  +   library(mlr3spatial)
  +   set.seed(42)
  +   simarea = list(matrix(c(0, 0, 0, 100, 100, 100, 100, 0, 0, 0), ncol = 2, byrow = TRUE))
  +   simarea = sf::st_polygon(simarea)
  +   train_points = sf::st_sample(simarea, 1000, type = "random")
  +   train_points = sf::st_as_sf(train_points)
  +   train_points$target = as.factor(sample(c("TRUE", "FALSE"), 1000, replace = TRUE))
  +   pred_points = sf::st_sample(simarea, 1000, type = "regular")
  + 
  +   task = mlr3spatial::as_task_classif_st(sf::st_as_sf(train_points), "target", positive = "TRUE")
  + 
  +   cv_knndm = rsmp("repeated_spcv_knndm", predpoints = pred_points, repeats = 2)
  +   cv_knndm$instantiate(task)
  + }
  Loading required namespace: mlr3spatial
  Failed with error:  ‘there is no package called ‘mlr3spatial’’
  > #' ### Individual sets:
  > # cv_knndm$train_set(1)
  > # cv_knndm$test_set(1)
  > # check that no obs are in both sets
  > intersect(cv_knndm$train_set(1), cv_knndm$test_set(1)) # good!
  Error: object 'cv_knndm' not found
  Execution halted