R Under development (unstable) (2024-01-20 r85814 ucrt) -- "Unsuffered Consequences"
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> library("testthat")
> test_check("gbm3", filter="^m")
Loading required package: gbm3
A gradient boosted model with Gaussian loss function.
 100 iterations were performed.
The best test-set iteration was 89.
There were 2 predictors of which 2 had non-zero influence.
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3863             nan     0.0010   -0.0001
     2        1.3862             nan     0.0010   -0.0000
     3        1.3861             nan     0.0010   -0.0001
     4        1.3861             nan     0.0010   -0.0000
     5        1.3861             nan     0.0010   -0.0000
     6        1.3860             nan     0.0010   -0.0000
     7        1.3860             nan     0.0010   -0.0001
     8        1.3859             nan     0.0010   -0.0001
     9        1.3858             nan     0.0010   -0.0001
    10        1.3858             nan     0.0010   -0.0001
    20        1.3855             nan     0.0010   -0.0001
    40        1.3848             nan     0.0010   -0.0000
    60        1.3841             nan     0.0010   -0.0000
    80        1.3835             nan     0.0010   -0.0000
   100        1.3827             nan     0.0010   -0.0000

A gradient boosted model with Bernoulli loss function.
 100 iterations were performed.
There were 2 predictors of which 2 had non-zero influence.
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 4 ]
> 
> proc.time()
   user  system elapsed 
    1.2     0.2     1.4