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        1.3799             nan     0.0010   -0.0001
     2        1.3797             nan     0.0010    0.0000
     3        1.3795             nan     0.0010   -0.0000
     4        1.3795             nan     0.0010   -0.0000
     5        1.3793             nan     0.0010    0.0001
     6        1.3793             nan     0.0010   -0.0001
     7        1.3793             nan     0.0010   -0.0001
     8        1.3793             nan     0.0010   -0.0001
     9        1.3791             nan     0.0010    0.0000
    10        1.3791             nan     0.0010   -0.0000
    20        1.3778             nan     0.0010    0.0000
    40        1.3755             nan     0.0010   -0.0000
    60        1.3732             nan     0.0010    0.0001
    80        1.3708             nan     0.0010    0.0000
   100        1.3686             nan     0.0010   -0.0001

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 
   1.06    0.18    1.25