R Under development (unstable) (2025-06-04 r88278 ucrt) -- "Unsuffered Consequences"
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> library(testthat)
> library(fanovaGraph)
Loading required package: sensitivity
Loading required package: igraph

Attaching package: 'igraph'

The following object is masked from 'package:testthat':

    compare

The following objects are masked from 'package:stats':

    decompose, spectrum

The following object is masked from 'package:base':

    union

Loading required package: DiceKriging
> 
> test_check("fanovaGraph")

optimisation start
------------------
* estimation method   : MLE 
* optimisation method : BFGS 
* analytical gradient : used
* trend model : ~1
* covariance model : 
  - type :  matern5_2 
  - nugget : NO
  - parameters lower bounds :  1e-10 1e-10 1e-10 1e-10 1e-10 1e-10 
  - parameters upper bounds :  3.975224 3.967393 3.977366 3.946013 3.935601 3.983994 
  - best initial criterion value(s) :  -26.60656 

N = 6, M = 5 machine precision = 2.22045e-16
At X0, 0 variables are exactly at the bounds
At iterate     0  f=       26.607  |proj g|=       3.0822
At iterate     1  f =        20.74  |proj g|=        3.6659
At iterate     2  f =       14.479  |proj g|=        2.4267
At iterate     3  f =       12.836  |proj g|=       0.96942
At iterate     4  f =       12.753  |proj g|=       0.39588
At iterate     5  f =       12.729  |proj g|=       0.20836
At iterate     6  f =       12.724  |proj g|=       0.14199
At iterate     7  f =        12.72  |proj g|=      0.032266
At iterate     8  f =        12.72  |proj g|=      0.013542
At iterate     9  f =        12.72  |proj g|=     0.0062952
At iterate    10  f =        12.72  |proj g|=      0.001052
At iterate    11  f =        12.72  |proj g|=     0.0003525
At iterate    12  f =        12.72  |proj g|=    0.00011112

iterations 12
function evaluations 14
segments explored during Cauchy searches 16
BFGS updates skipped 0
active bounds at final generalized Cauchy point 0
norm of the final projected gradient 0.000111123
final function value 12.7196

F = 12.7196
final  value 12.719557 
converged

optimisation start
------------------
* estimation method   : MLE 
* optimisation method : BFGS 
* analytical gradient : used
* trend model : ~1
* covariance model : 
  - type :  matern5_2 
  - nugget : NO
  - parameters lower bounds :  1e-10 1e-10 1e-10 1e-10 1e-10 1e-10 
  - parameters upper bounds :  3.975224 3.967393 3.977366 3.946013 3.935601 3.983994 
  - best initial criterion value(s) :  -26.60656 

N = 6, M = 5 machine precision = 2.22045e-16
At X0, 0 variables are exactly at the bounds
At iterate     0  f=       26.607  |proj g|=       3.0822
At iterate     1  f =        20.74  |proj g|=        3.6659
At iterate     2  f =       14.479  |proj g|=        2.4267
At iterate     3  f =       12.836  |proj g|=       0.96942
At iterate     4  f =       12.753  |proj g|=       0.39588
At iterate     5  f =       12.729  |proj g|=       0.20836
At iterate     6  f =       12.724  |proj g|=       0.14199
At iterate     7  f =        12.72  |proj g|=      0.032266
At iterate     8  f =        12.72  |proj g|=      0.013542
At iterate     9  f =        12.72  |proj g|=     0.0062952
At iterate    10  f =        12.72  |proj g|=      0.001052
At iterate    11  f =        12.72  |proj g|=     0.0003525
At iterate    12  f =        12.72  |proj g|=    0.00011112

iterations 12
function evaluations 14
segments explored during Cauchy searches 16
BFGS updates skipped 0
active bounds at final generalized Cauchy point 0
norm of the final projected gradient 0.000111123
final function value 12.7196

F = 12.7196
final  value 12.719557 
converged

optimisation start
------------------
* estimation method   : MLE 
* optimisation method : BFGS 
* analytical gradient : used
* trend model : ~1
* covariance model : 
  - type :  matern5_2 
  - nugget : NO
  - parameters lower bounds :  1e-10 1e-10 1e-10 
  - parameters upper bounds :  2 2 2 
  - best initial criterion value(s) :  9.143308 

N = 3, M = 5 machine precision = 2.22045e-16
At X0, 0 variables are exactly at the bounds
At iterate     0  f=      -9.1433  |proj g|=       1.3325
At iterate     1  f =      -9.8646  |proj g|=        1.1083
At iterate     2  f =      -9.9093  |proj g|=       0.63318
At iterate     3  f =       -9.938  |proj g|=       0.49174
At iterate     4  f =      -9.9651  |proj g|=       0.24733
At iterate     5  f =      -9.9751  |proj g|=      0.051243
At iterate     6  f =      -9.9754  |proj g|=     0.0021695
At iterate     7  f =      -9.9754  |proj g|=     0.0001937
At iterate     8  f =      -9.9754  |proj g|=    0.00022106

iterations 8
function evaluations 14
segments explored during Cauchy searches 10
BFGS updates skipped 0
active bounds at final generalized Cauchy point 0
norm of the final projected gradient 0.000221057
final function value -9.97537

F = -9.97537
final  value -9.975373 
converged
     threshold      RMSE
[1,]       0.0 0.3281777
[2,]       0.4 0.2187619
[3,]       1.0 0.9907953
[ FAIL 0 | WARN 3 | SKIP 0 | PASS 32 ]

[ FAIL 0 | WARN 3 | SKIP 0 | PASS 32 ]
> 
> proc.time()
   user  system elapsed 
  18.21    1.73   20.18