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 94.
There were 2 predictors of which 2 had non-zero influence.
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3858             nan     0.0010   -0.0000
     2        1.3857             nan     0.0010   -0.0000
     3        1.3857             nan     0.0010   -0.0001
     4        1.3856             nan     0.0010   -0.0000
     5        1.3856             nan     0.0010   -0.0001
     6        1.3856             nan     0.0010   -0.0000
     7        1.3855             nan     0.0010    0.0000
     8        1.3854             nan     0.0010   -0.0000
     9        1.3854             nan     0.0010   -0.0000
    10        1.3853             nan     0.0010   -0.0000
    20        1.3846             nan     0.0010   -0.0000
    40        1.3833             nan     0.0010   -0.0000
    60        1.3821             nan     0.0010    0.0000
    80        1.3808             nan     0.0010   -0.0000
   100        1.3797             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 
   2.10    0.28    2.37