R Under development (unstable) (2025-11-21 r89046 ucrt) -- "Unsuffered Consequences"
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> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
> 
> library(testthat)
> library(matsuoka.frontier)
> 
> test_check("matsuoka.frontier")
Loading required package: lpSolveAPI
Loading required package: ucminf
Loading required package: quadprog
Summary for 'matsuoka3step'

Efficiency summary:
    Min 1st Qu.  Median    Mean 3rd Qu.     Max 
   0.70    0.80    0.90    1.02    1.20    1.50 

% efficient (score >= 1): 40.00% (2 of 5)

Matsuoka's p parameter estimated value: 0.5000

Summary for 'matsuoka3step'

Efficiency summary:
    Min 1st Qu.  Median    Mean 3rd Qu.     Max 
   0.50    0.80    1.00    1.16    1.50    2.00 

% efficient (score >= 1): 60.00% (3 of 5)

Matsuoka's p parameter estimated value: 0.5000

Summary for 'matsuoka3step'

Efficiency summary:
    Min 1st Qu.  Median    Mean 3rd Qu.     Max 
  0.500   0.725   0.900   0.950   1.125   1.500 

% efficient (score >= 1): 40.00% (2 of 5)

Matsuoka's p parameter estimated value: 0.5000

Summary for 'matsuoka3step'

Model call:
   some_model(y ~ x, data = df) 

Efficiency summary:
    Min 1st Qu.  Median    Mean 3rd Qu.     Max 
   0.70    0.80    0.90    1.02    1.20    1.50 

% efficient (score >= 1): 40.00% (2 of 5)

Matsuoka's p parameter estimated value: 0.5000

Summary for 'matsuoka3step'

Model call:
   estimate_function(data) 

Efficiency summary:
    Min 1st Qu.  Median    Mean 3rd Qu.     Max 
   0.70    0.80    0.90    1.02    1.20    1.50 

% efficient (score >= 1): 40.00% (2 of 5)

Matsuoka's p parameter estimated value: 0.5000

Summary for 'matsuoka3step'

g(x) call (g_hat function):
   smooth.spline(x, y) 
    - For more info of g(x) estimation, please use summary(...$g_hat$model) 

Efficiency summary:
    Min 1st Qu.  Median    Mean 3rd Qu.     Max 
   0.70    0.80    0.90    1.02    1.20    1.50 

% efficient (score >= 1): 40.00% (2 of 5)

Matsuoka's p parameter estimated value: 0.5000

Summary for 'matsuoka3step'

g(x) call (g_hat function):
   loess(y ~ x) 
    - For more info of g(x) estimation, please use summary(...$g_hat$model) 

Efficiency summary:
    Min 1st Qu.  Median    Mean 3rd Qu.     Max 
   0.70    0.80    0.90    1.02    1.20    1.50 

% efficient (score >= 1): 40.00% (2 of 5)

Matsuoka's p parameter estimated value: 0.5000

Summary for 'matsuoka3step'

g(x) call (g_hat function):
   gam(y ~ s(x)) 
    - For more info of g(x) estimation, please use summary(...$g_hat$model) 

Efficiency summary:
    Min 1st Qu.  Median    Mean 3rd Qu.     Max 
   0.70    0.80    0.90    1.02    1.20    1.50 

% efficient (score >= 1): 40.00% (2 of 5)

Matsuoka's p parameter estimated value: 0.5000

Summary for 'matsuoka3step'

Efficiency summary:
    Min 1st Qu.  Median    Mean 3rd Qu.     Max 
   0.70    0.80    0.90    1.02    1.20    1.50 

% efficient (score >= 1): 40.00% (2 of 5)

Matsuoka's p parameter estimated value: 0.5000

Summary for 'matsuoka3step'

Efficiency summary:
    Min 1st Qu.  Median    Mean 3rd Qu.     Max 
   0.70    0.80    0.90    1.02    1.20    1.50 

% efficient (score >= 1): 40.00% (2 of 5)

Matsuoka's p parameter estimated value: 0.5000

Summary for 'matsuoka3step'

Efficiency summary:
    Min 1st Qu.  Median    Mean 3rd Qu.     Max 
   1.00    1.25    1.50    1.50    1.75    2.00 

% efficient (score >= 1): 100.00% (3 of 3)

Matsuoka's p parameter estimated value: 0.5000

Summary for 'matsuoka3step'

Efficiency summary:
    Min 1st Qu.  Median    Mean 3rd Qu.     Max 
    0.1     0.3     0.5     0.5     0.7     0.9 

% efficient (score >= 1): 0.00% (0 of 3)

Matsuoka's p parameter estimated value: 0.5000

Summary for 'matsuoka3step'

Efficiency summary:
    Min 1st Qu.  Median    Mean 3rd Qu.     Max 
    1.5     1.5     1.5     1.5     1.5     1.5 

% efficient (score >= 1): 100.00% (1 of 1)

Matsuoka's p parameter estimated value: 0.5000

[ FAIL 0 | WARN 0 | SKIP 0 | PASS 286 ]
> 
> proc.time()
   user  system elapsed 
   9.68    0.56   10.23