R Under development (unstable) (2026-03-08 r89578 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(ctlr)
> 
> test_check("ctlr")

Use of Clinical Tolerance Limits (CTL) for assessing agreement
**************************************************************

ID Variable: id
New Method Y Variable: y1
Reference Method Y Variable: y2
Running...

seed set to 123456789

Constant tolerance limits specified: intercept= 5& slope= 0

Estimating BLUP for latent trait...
diff_bias= 3.348273 , 95%CI=[ 1.60864 ; 5.087905 ]
prop_bias= 0.833226 , 95%CI=[ 0.7876876 ; 0.8787644 ]


Use of Clinical Tolerance Limits (CTL) for assessing agreement
**************************************************************

ID Variable: id
New Method Y Variable: y1
Reference Method Y Variable: y2
Running...

seed set to 123456789

Constant tolerance limits specified: intercept= 5& slope= 0

Estimating BLUP for latent trait...
diff_bias= 3.348273 , 95%CI=[ 1.60864 ; 5.087905 ]
prop_bias= 0.833226 , 95%CI=[ 0.7876876 ; 0.8787644 ]

Results saved to D:\RCompile\CRANincoming\R-devel\ctlr.Rcheck\tests\testthat\outputs\ctl_results.rda

Use of Clinical Tolerance Limits (CTL) for assessing agreement
**************************************************************

ID Variable: id
New Method Y Variable: y1
Reference Method Y Variable: y2
Running...

seed set to 123456789

Non-constant tolerance limits specified: intercept= 0& slope= 0.15

Estimating BLUP for latent trait...
diff_bias= 3.348273 , 95%CI=[ 1.60864 ; 5.087905 ]
prop_bias= 0.833226 , 95%CI=[ 0.7876876 ; 0.8787644 ]

Number of simulations used for CPA plot is set to 100


Generating Conditional probability of agreement plot

**************************************************************


Use of Clinical Tolerance Limits (CTL) for assessing agreement
**************************************************************

ID Variable: id
New Method Y Variable: y1
Reference Method Y Variable: y2
Running...

seed set to 123456789

Constant tolerance limits specified: intercept= 5& slope= 0

Estimating BLUP for latent trait...
diff_bias= 3.348273 , 95%CI=[ 1.60864 ; 5.087905 ]
prop_bias= 0.833226 , 95%CI=[ 0.7876876 ; 0.8787644 ]


Generating Tolerance Limits Plot

**************************************************************


Use of Clinical Tolerance Limits (CTL) for assessing agreement
**************************************************************

ID Variable: id
New Method Y Variable: y1
Reference Method Y Variable: y2
Running...

seed set to 123456789

Constant tolerance limits specified: intercept= 5& slope= 0

Estimating BLUP for latent trait...
diff_bias= 3.348273 , 95%CI=[ 1.60864 ; 5.087905 ]
prop_bias= 0.833226 , 95%CI=[ 0.7876876 ; 0.8787644 ]

Results saved to D:\RCompile\CRANincoming\R-devel\ctlr.Rcheck\tests\testthat\outputs\ctl_results.rda

Use of Clinical Tolerance Limits (CTL) for assessing agreement
**************************************************************

ID Variable: id
New Method Y Variable: y1
Reference Method Y Variable: y2
Running...

seed set to 123456789

Non-constant tolerance limits specified: intercept= 1& slope= 0.2

Estimating BLUP for latent trait...
diff_bias= 5.142302 , 95%CI=[ 2.599347 ; 7.685256 ]
prop_bias= 0.7953882 , 95%CI=[ 0.7347545 ; 0.856022 ]

[ FAIL 0 | WARN 0 | SKIP 0 | PASS 13 ]
> 
> proc.time()
   user  system elapsed 
   4.54    0.39    4.92