R Under development (unstable) (2025-09-11 r88813 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(SEMsensitivity)
> 
> test_check("SEMsensitivity")
This is lavaan 0.6-19
lavaan is FREE software! Please report any bugs.

Attaching package: 'dplyr'

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

    matches

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

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    intersect, setdiff, setequal, union

Loading required package: R.oo
Loading required package: R.methodsS3
R.methodsS3 v1.8.2 (2022-06-13 22:00:14 UTC) successfully loaded. See ?R.methodsS3 for help.
R.oo v1.27.1 (2025-05-02 21:00:05 UTC) successfully loaded. See ?R.oo for help.

Attaching package: 'R.oo'

The following object is masked from 'package:R.methodsS3':

    throw

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    equals

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    getClasses, getMethods

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    attach, detach, load, save

R.utils v2.13.0 (2025-02-24 21:20:02 UTC) successfully loaded. See ?R.utils for help.

Attaching package: 'R.utils'

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    timestamp

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Summary of SEM sensitivity analysis result: 
Method Name: Naive exact method 
Path: dem65~ind60 
Original Value: 0.572336 
Original Number of Samples: 75 
Drop Points Percentage: 10 
Dropped Number of Samples: 8 
New Parameter Value: 0.076319 
drop points list: 
[1] 30 38  2 47 36 14 53 26
Summary of SEM sensitivity analysis result: 
Method Name: Naive method with approximate influence 
Path: dem65~ind60 
Original Value: 0.572336 
Original Number of Samples: 75 
Drop Points Percentage: 10 
Dropped Number of Samples: 8 
New Parameter Value: 0.076319 
drop points list: 
[1] 30 38  2 47 36 53 14 26
[1] "The maximum number of data points dropped was 20"
[1] "The expected change in parameter value was -0.5828, while the actual change was -0.7415"
[1] "The parameter at the biggest change is -0.17, while it was originally 0.57"

Summary of Specified Approximation Method: 
Method Name:  specified approximation method 
Maximum Number of Data Points Dropped:  20 
Expected Change in Parameter Value:  -0.5828 
Actual Change in Parameter Value:  -0.7415 
Parameter Value at Biggest Change:  -0.17 
Original Parameter Value:  0.57 
It was possible to change the sign of the parameter.
Dropped Points:  30, 38, 2, 47, 36, 53, 14, 26, 56, 18, 54, 66, 51, 8, 62, 71, 11, 32, 12, 28 
Summary of SEM sensitivity analysis result: 
Method Name: Simple DEPTH METHOD 
Path: dem65~ind60 
Original Value: 0.572336 
Original Number of Samples: 75 
Drop Points Percentage: 10 
Dropped Number of Samples: 8 
New Parameter Value: 0.065405 
drop points list: 
[1] 30 38 47 36  2 53 56 14
[1] "The combined method yields a new parameter value of 0.076319"
Summary of SEM sensitivity analysis result: 
Method Name: Combined Method 
Path: dem65~ind60 
Original Value: 0.572336 
Original Number of Samples: 75 
Drop Points Percentage: 10 
Dropped Number of Samples: 8 
New Parameter Value: 0.076319 
drop points list: 
[1] 30 38  2 47 36 14 53 26
The expected CPU time is 42.75 second(s).
Could be faster if run in parallel.

Summary of Naive Method with Exact Influence: 
Method Name:  naive method with exact influence 
Original Fit Value:  0.9954 
Final Fit Value After Dropping Points:  0.9481 
Number of Data Points Dropped:  8 
Threshold Crossed:  No 
Threshold Not Crossed.
Dropped Points:  74, 68, 41, 47, 12, 7, 71, 45 
Fit Measurement Used:  cfi 
Fit Threshold Used:  0.9000 
Higher Value Better (for Fit Measurement):  Yes 
Maximum Points Considered for Dropping:  8 
Total Number of Data Points:  75 

Summary of Finding case deletions required to change fit metric using approximate method: 
Method Name:  Finding case deletions required to change fit metric using approximate method 
Original Fit Value:  0.9954 
Final Fit Value After Dropping Points:  0.9440 
Number of Data Points Dropped:  8 
Threshold Crossed:  No 
Threshold Not Crossed.
Dropped Points:  74, 41, 47, 12, 7, 70, 71, 68 
Fit Measurement Used:  cfi 
Fit Threshold Used:  0.9000 
Higher Value Better (for Fit Measurement):  Yes 
Maximum Points Considered for Dropping:  8 
Total Number of Data Points:  75 
[1] "Layer Skipped"
[1] "Layer Skipped"
[1] "The Negamax method reduced the parameter value from 0.5723 to 0.0588"
Summary of Negamax Search Algorithm Results:
Method Name: Negamax search algorithm function 
Path: dem65~ind60 
Original Value: 0.572336 
Original Number of Samples: 75 
Drop Points Percentage: 10 
Dropped Number of Samples: 8 
drop points list: 
[1] 30 47  2 38 26 46 36 53
The Negamax method reduced the parameter value from 0.5723 to 0.0588
Summary of Depth Method to Switch Sign of Parameter Results:
Method Name: Use depth method to try to switch sign of parameter 
Path: dem65~ind60 
Original Value: 0.572336 
Original Number of Samples: 75 
Drop Points Percentage: 10 
Dropped Number of Samples: 8 
New Parameter Value: -0.017758 
drop points list: 
 [1] 30 38 47 36  2 53 56 14 22 18
Using the depth method, dropping 10 data points, the parameter was switched from 0.5723 to -0.0178
[1] "The Negamax method reduced the parameter value from 0.5723 to -0.1904"
[1] "14 points were dropped"
Summary of Depth Method to Switch Sign of Parameter Results:
The Negamax method reduced the parameter value from 0.5723 to -0.1904 
14 points were dropped
Deleted points indices:  30, 38, 47, 36, 53, 28, 26, 14, 71, 25, 46, 48, 22, 2 
[ FAIL 0 | WARN 0 | SKIP 1 | PASS 0 ]

══ Skipped tests (1) ═══════════════════════════════════════════════════════════
• empty test (1): 'testall.R:15:1'

[ FAIL 0 | WARN 0 | SKIP 1 | PASS 0 ]
> 
> proc.time()
   user  system elapsed 
 428.39    7.25  435.64