Package check result: ERROR

Check: examples, Result: ERROR
  Running examples in ‘alookr-Ex.R’ failed
  The error most likely occurred in:
  
  > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
  > ### Name: compare_performance
  > ### Title: Compare model performance
  > ### Aliases: compare_performance
  > 
  > ### ** Examples
  > 
  > ## No test: 
  > library(dplyr)
  
  Attaching package: ‘dplyr’
  
  The following object is masked from ‘package:randomForest’:
  
      combine
  
  The following objects are masked from ‘package:stats’:
  
      filter, lag
  
  The following objects are masked from ‘package:base’:
  
      intersect, setdiff, setequal, union
  
  > 
  > # Divide the train data set and the test data set.
  > sb <- rpart::kyphosis %>%
  +   split_by(Kyphosis)
  > 
  > # Extract the train data set from original data set.
  > train <- sb %>%
  +   extract_set(set = "train")
  > 
  > # Extract the test data set from original data set.
  > test <- sb %>%
  +   extract_set(set = "test")
  > 
  > # Sampling for unbalanced data set using SMOTE(synthetic minority over-sampling technique).
  > train <- sb %>%
  +   sampling_target(seed = 1234L, method = "ubSMOTE")
  > 
  > # Cleaning the set.
  > train <- train %>%
  +   cleanse
  ── Checking unique value ─────────────────────────── unique value is one ──
  No variables that unique value is one.
  
  ── Checking unique rate ─────────────────────────────── high unique rate ──
  No variables that high unique rate.
  
  ── Checking character variables ─────────────────────── categorical data ──
  No character variables.
  
  > 
  > # Run the model fitting.
  > result <- run_models(.data = train, target = "Kyphosis", positive = "present")
  Warning in throw_err_or_depr_msg("Passed unrecognized parameters: ", paste(head(names_unrecognized),  :
    Passed unrecognized parameters: verbose. This warning will become an error in a future version.
  Warning in throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '",  :
    Parameter 'eta' has been renamed to 'learning_rate'. This warning will become an error in a future version.
  > 
  > # Predict the model.
  > pred <- run_predict(result, test)
  
  Execution halted