Running 'testthat.R' [162s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(tlars)
  > 
  > test_check("tlars")
  Created an object of class tlars_cpp... 
  		 The first p = 100 predictors in 'XD' are the original predictors and 
  		 the last num_dummies = 100 predictors are dummies
  Executing T-LARS step by reference...
  		 Finished T-LARS step(s)... 
  			 - The results are stored in the C++ object 'mod_tlars'.
  			 - New value of T_stop: 3.
  			 - Time elapsed: 0.001 sec.
  Created an object of class tlars_cpp... 
  		 The first p = 100 predictors in 'XD' are the original predictors and 
  		 the last num_dummies = 100 predictors are dummies
  Created an object of class tlars_cpp... 
  		 The first p = 100 predictors in 'XD' are the original predictors and 
  		 the last num_dummies = 100 predictors are dummies
  Executing T-LARS step by reference...
  		 Finished T-LARS step(s). No early stopping! 
  			 - The results are stored in the C++ object 'mod_tlars'.
  			 - Time elapsed: 0.003 sec.
  Created an object of class tlars_cpp... 
  		 The first p = 100 predictors in 'XD' are the original predictors and 
  		 the last num_dummies = 100 predictors are dummies
  Executing T-LARS step by reference...
  		 Finished T-LARS step(s)... 
  			 - The results are stored in the C++ object 'mod_tlars'.
  			 - New value of T_stop: 3.
  			 - Time elapsed: 0.001 sec.
  Created an object of class tlars_cpp... 
  		 The first p = 100 predictors in 'XD' are the original predictors and 
  		 the last num_dummies = 100 predictors are dummies
  Executing T-LARS step by reference...
  		 Finished T-LARS step(s)... 
  			 - The results are stored in the C++ object 'mod_tlars'.
  			 - New value of T_stop: 3.
  			 - Time elapsed: 0.001 sec.
  Created an object of class tlars_cpp... 
  		 The first p = 100 predictors in 'XD' are the original predictors and 
  		 the last num_dummies = 100 predictors are dummies
  Created an object of class tlars_cpp... 
  		 The first p = 100 predictors in 'XD' are the original predictors and 
  		 the last num_dummies = 100 predictors are dummies
  Created an object of class tlars_cpp... 
  		 The first p = 100 predictors in 'XD' are the original predictors and 
  		 the last num_dummies = 100 predictors are dummies
  [ FAIL 0 | WARN 0 | SKIP 0 | PASS 23 ]
  > 
  > proc.time()
     user  system elapsed 
     1.39    0.25    1.57