Running 'testthat.R' [168s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > # 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/tests.html
  > # * https://testthat.r-lib.org/reference/test_package.html#special-files
  > 
  > library(testthat)
  > library(testCompareR)
  > 
  > test_check("testCompareR")
  
  WARNING:
  Zeros exist in contingency table. Tests may return NA/NaN.
  
  --------------------------------------------------------------------------------
  CONTINGENCY TABLES
  --------------------------------------------------------------------------------
  
  True Status - POSITIVE
            Test 2
  Test 1     Positive Negative
    Positive      280       20
    Negative        0      100
  
  True Status - NEGATIVE
            Test 2
  Test 1     Positive Negative
    Positive       45       10
    Negative        0      145
  
  --------------------------------------------------------------------------------
  PREVALENCE (%)
  --------------------------------------------------------------------------------
  
             Estimate  SE Lower CI Upper CI
  Prevalence     66.7 1.9     62.8     70.3
  
  --------------------------------------------------------------------------------
  DIAGNOSTIC ACCURACIES
  --------------------------------------------------------------------------------
  
   Test 1 (%)
              Estimate  SE Lower CI Upper CI
  Sensitivity     75.0 2.2     70.5     79.0
  Specificity     72.5 3.2     66.0     78.3
  
   Test 2 (%)
              Estimate  SE Lower CI Upper CI
  Sensitivity     70.0 2.3     65.4     74.3
  Specificity     77.5 3.0     71.3     82.8
  
  Global Null Hypothesis: Se1 = Se2 & Sp1 = Sp2
  Test statistic:  31.57895  Adjusted p value:  4.167158e-07 ***SIGNIFICANT***
  
  Investigating cause(s) of significance
  
  Null Hypothesis 1: Se1 = Se2
  Test statistic:  18.05  Adjusted p value:  0.0001506251 ***SIGNIFICANT***
  
  Null Hypothesis 2: Sp1 = Sp2
  Test statistic:  8.1  Adjusted p value:  0.02213263 ***SIGNIFICANT***
  
  --------------------------------------------------------------------------------
  PREDICTIVE VALUES
  --------------------------------------------------------------------------------
  
   Test 1 (%)
      Estimate  SE Lower CI Upper CI
  PPV     84.5 1.9     80.4     87.9
  NPV     59.2 3.1     52.9     65.2
  
   Test 2 (%)
      Estimate  SE Lower CI Upper CI
  PPV     86.2 1.9     82.0     89.5
  NPV     56.4 3.0     50.5     62.1
  
  Global Null Hypothesis: PPV1 = PPV2 & NPV1 = NPV2
  Test statistic:  28.43169  Adjusted p value:  1.340192e-06 ***SIGNIFICANT***
  
  Investigating cause(s) of significance
  
  Null Hypothesis 1: PPV1 = PPV2
  Test statistic:  4.059529  Adjusted p value:  0.08784551
  
  Null Hypothesis 2: NPV1 = NPV2
  Test statistic:  6.343355  Adjusted p value:  0.04712873 ***SIGNIFICANT***
  
  --------------------------------------------------------------------------------
  LIKELIHOOD RATIOS
  --------------------------------------------------------------------------------
  
   Test 1 (%)
      Estimate  SE Lower CI Upper CI
  PLR      2.7 0.3      2.2      3.5
  NLR      0.3 0.0      0.3      0.4
  
   Test 2 (%)
      Estimate  SE Lower CI Upper CI
  PLR      3.1 0.4      2.4      4.1
  NLR      0.4 0.0      0.3      0.5
  
  Global Null Hypothesis: PLR1 = PLR2 & NLR1 = NLR2
  Test statistic:  24.2216  Adjusted p value:  5.499788e-06 ***SIGNIFICANT***
  
  Investigating cause(s) of significance
  
  Null Hypothesis 1: PLR1 = PLR2
  Test statistic:  2.013107  Adjusted p value:  0.08784551
  
  Null Hypothesis 2: NLR1 = NLR2
  Test statistic:  2.516314  Adjusted p value:  0.04712873 ***SIGNIFICANT***
  WARNING:
  Tests have exactly equal performance. Tests may return NA/NaN.
  Zeros exist in contingency table. Tests may return NA/NaN.
  Youden Index of  Test 1  is 0. Tests may return NA/NaN.
  Youden Index of  Test 2  is 0. Tests may return NA/NaN.
  When Youden Index is less than or equal to zero a test returns the 
  same proportion of positive results irrespective of true status.
  This indicates poor test performance. 
  --------------------------------------------------------------------------------
  CONTINGENCY TABLES
  --------------------------------------------------------------------------------
  
  True Status - POSITIVE
            Test 2
  Test 1     Positive Negative
    Positive       10        0
    Negative        0      390
  
  True Status - NEGATIVE
            Test 2
  Test 1     Positive Negative
    Positive      190        0
    Negative        0       10
  
  --------------------------------------------------------------------------------
  PREVALENCE (%)
  --------------------------------------------------------------------------------
  
             Estimate  SE Lower CI Upper CI
  Prevalence     66.7 1.9     62.8     70.3
  
  --------------------------------------------------------------------------------
  DIAGNOSTIC ACCURACIES
  --------------------------------------------------------------------------------
  
   Test 1 (%)
              Estimate  SE Lower CI Upper CI
  Sensitivity      2.5 0.8      1.3      4.5
  Specificity      5.0 1.5      2.7      8.9
  
   Test 2 (%)
              Estimate  SE Lower CI Upper CI
  Sensitivity      2.5 0.8      1.3      4.5
  Specificity      5.0 1.5      2.7      8.9
  
  Global hypothesis testing was not or could not be performed.
  This is usually because:
  * prevalence is <10% and total number of participants < 100
  * tests have identical performance
  * there are many zeros in the contingency table
  * Youden Index is < 0
  
  Consider the quality of your data and/or tests. Individual tests have been 
  attempted below.
  
  Investigating cause(s) of significance
  
  Null Hypothesis 1: Se1 = Se2
  Test statistic:  Inf  Adjusted p value:  0 ***SIGNIFICANT***
  
  Null Hypothesis 2: Sp1 = Sp2
  Test statistic:  Inf  Adjusted p value:  0 ***SIGNIFICANT***
  
  --------------------------------------------------------------------------------
  PREDICTIVE VALUES
  --------------------------------------------------------------------------------
  
   Test 1 (%)
      Estimate  SE Lower CI Upper CI
  PPV      5.0 1.5      2.7      8.9
  NPV      2.5 0.8      1.3      4.5
  
   Test 2 (%)
      Estimate  SE Lower CI Upper CI
  PPV      5.0 1.5      2.7      8.9
  NPV      2.5 0.8      1.3      4.5
  
  Global hypothesis testing was not or could not be performed.
  
  This is usually because:
  * tests have identical performance
  * there are many zeros in the contingency table
  * Youden Index is < 0
  
  Consider the quality of your data and/or tests. Individual tests have been 
  attempted below.
  
  Investigating cause(s) of significance
  
  Null Hypothesis 1: PPV1 = PPV2
  Test statistic:  NaN  Adjusted p value:  NaN
  NAs or NaNs in individual tests.
  
  This is usually because:
  * tests have identical performance
  * there are many zeros in the contingency table
  * Youden Index is < 0
  
  Consider the quality of your data and/or tests.
  
  Null Hypothesis 2: NPV1 = NPV2
  Test statistic:  NaN  Adjusted p value:  NaN
  NAs or NaNs in individual tests.
  
  This is usually because:
  * tests have identical performance
  * there are many zeros in the contingency table
  * Youden Index is < 0
  
  Consider the quality of your data and/or tests.
  
  --------------------------------------------------------------------------------
  LIKELIHOOD RATIOS
  --------------------------------------------------------------------------------
  
   Test 1 (%)
      Estimate SE Lower CI Upper CI
  PLR      0.0  0      0.0      0.0
  NLR     19.5  6     10.9     33.8
  
   Test 2 (%)
      Estimate SE Lower CI Upper CI
  PLR      0.0  0      0.0      0.0
  NLR     19.5  6     10.9     33.8
  
  Global hypothesis testing was not or could not be performed.
  
  This is usually because:
  * tests have identical performance
  * there are many zeros in the contingency table
  * Youden Index is < 0
  
  Consider the quality of your data and/or tests. Individual tests have been 
  attempted below.
  
  Investigating cause(s) of significance
  
  Null Hypothesis 1: PLR1 = PLR2
  Test statistic:  NaN  Adjusted p value:  NaN
  NAs or NaNs in individual tests.
  
  This is usually because:
  * tests have identical performance
  * there are many zeros in the contingency table
  * Youden Index is < 0
  
  Consider the quality of your data and/or tests.
  
  Null Hypothesis 2: NLR1 = NLR2
  Test statistic:  NaN  Adjusted p value:  NaN
  NAs or NaNs in individual tests.
  
  This is usually because:
  * tests have identical performance
  * there are many zeros in the contingency table
  * Youden Index is < 0
  
  Consider the quality of your data and/or tests.[ FAIL 0 | WARN 0 | SKIP 0 | PASS 557 ]
  > 
  > proc.time()
     user  system elapsed 
     3.17    0.70    3.86