R Under development (unstable) (2024-01-14 r85805 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 100.
There were 2 predictors of which 2 had non-zero influence.
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3846             nan     0.0010    0.0000
     2        1.3845             nan     0.0010   -0.0001
     3        1.3844             nan     0.0010    0.0000
     4        1.3844             nan     0.0010    0.0000
     5        1.3843             nan     0.0010    0.0000
     6        1.3842             nan     0.0010   -0.0000
     7        1.3841             nan     0.0010   -0.0000
     8        1.3840             nan     0.0010   -0.0001
     9        1.3840             nan     0.0010   -0.0001
    10        1.3840             nan     0.0010   -0.0000
    20        1.3832             nan     0.0010    0.0000
    40        1.3818             nan     0.0010   -0.0000
    60        1.3808             nan     0.0010   -0.0000
    80        1.3796             nan     0.0010    0.0000
   100        1.3783             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 
   1.31    0.15    1.45