Running 'testthat.R' [19s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(rsimsum)
  > 
  > test_check("rsimsum")
  -- 1. Error: multisimsum with 'true' as a column returns the same results as usi
  DLL 'dplyr' not found: maybe not installed for this architecture?
  Backtrace:
   1. dplyr::bind_rows
   2. base::getExportedValue(pkg, name)
   3. base::asNamespace(ns)
   4. base::getNamespace(ns)
   5. base::loadNamespace(name)
   6. base::library.dynam(lib, package, package.lib)
  
  -- 2. Error: multisimsum with 'true' as a column returns different results compa
  DLL 'dplyr' not found: maybe not installed for this architecture?
  Backtrace:
   1. dplyr::bind_rows
   2. base::getExportedValue(pkg, name)
   3. base::asNamespace(ns)
   4. base::getNamespace(ns)
   5. base::loadNamespace(name)
   6. base::library.dynam(lib, package, package.lib)
  
  Values are:
  	Point Estimate
  
     
  Parameter: fv 
  
  Non-missing point estimates/standard errors:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma        976            1000          971              1000
   Log-Normal        957            1000          997              1000
  
  Average point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.7376          0.9799       0.7321            0.9847
   Log-Normal     0.6436          0.7325       0.6434            0.7348
  
  Median point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.7271          0.9566       0.7225            0.9597
   Log-Normal     0.6365          0.7182       0.6324            0.7199
  
  Average variance:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0203          0.0600       0.0202            0.0498
   Log-Normal     0.0156          0.0230       0.0158            0.0254
  
  Median variance:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0193          0.0483       0.0191            0.0442
   Log-Normal     0.0149          0.0206       0.0149            0.0235
  
  Bias in point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.0124          0.2299      -0.0179            0.2347
   Log-Normal    -0.1064         -0.0175      -0.1066           -0.0152
  
  Empirical standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.1421          0.2406       0.1387            0.2438
   Log-Normal     0.1320          0.1554       0.1307            0.1570
  
  % gain in precision relative to method Cox, Gamma:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0000        -65.1290       5.0048          -66.0342
   Log-Normal     0.0000        -27.8283       2.0492          -29.3058
  
  Mean squared error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0203          0.1107       0.0195            0.1145
   Log-Normal     0.0287          0.0244       0.0284            0.0248
  
  Model-based standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.1426          0.2449       0.1420            0.2232
   Log-Normal     0.1249          0.1517       0.1258            0.1594
  
  Relative % error in standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.3574          1.7896       2.3922           -8.4531
   Log-Normal    -5.3912         -2.3382      -3.7112            1.5422
  
  Coverage of nominal 95% confidence interval:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.9201          0.9220       0.9300            0.9030
   Log-Normal     0.7503          0.9020       0.7683            0.9280
  
  Bias-eliminated coverage of nominal 95% confidence interval:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.9334          0.8980       0.9434            0.8930
   Log-Normal     0.9164          0.9130       0.9308            0.9360
  
  Power of 5% level test:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     1.0000          1.0000       1.0000            1.0000
   Log-Normal     1.0000          1.0000       1.0000            1.0000
  
   -------------------------------------------------------------------------------- 
   
  Parameter: trt 
  
  Non-missing point estimates/standard errors:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma       1000            1000          971              1000
   Log-Normal       1000            1000          997              1000
  
  Average point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.5006         -0.5013      -0.5003           -0.5015
   Log-Normal    -0.5006         -0.5014      -0.5006           -0.5016
  
  Median point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.5011         -0.5021      -0.5010           -0.5025
   Log-Normal    -0.5014         -0.5021      -0.5014           -0.5022
  
  Average variance:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0026          0.0026       0.0026            0.0026
   Log-Normal     0.0023          0.0023       0.0023            0.0023
  
  Median variance:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0026          0.0026       0.0026            0.0026
   Log-Normal     0.0022          0.0022       0.0022            0.0022
  
  Bias in point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.0006         -0.0013      -0.0003           -0.0015
   Log-Normal    -0.0006         -0.0014      -0.0006           -0.0016
  
  Empirical standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0508          0.0509       0.0506            0.0509
   Log-Normal     0.0474          0.0474       0.0473            0.0474
  
  % gain in precision relative to method Cox, Gamma:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0000         -0.4457       0.4394           -0.5782
   Log-Normal     0.0000         -0.1417       0.0918           -0.2078
  
  Mean squared error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0026          0.0026       0.0026            0.0026
   Log-Normal     0.0022          0.0022       0.0022            0.0022
  
  Model-based standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0506          0.0507       0.0506            0.0507
   Log-Normal     0.0475          0.0475       0.0475            0.0475
  
  Relative % error in standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.2017         -0.3890      -0.0544           -0.4330
   Log-Normal     0.2507          0.1815       0.3319            0.2101
  
  Coverage of nominal 95% confidence interval:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.9500          0.9490       0.9506            0.9500
   Log-Normal     0.9410          0.9420       0.9428            0.9430
  
  Bias-eliminated coverage of nominal 95% confidence interval:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.9500          0.9500       0.9506            0.9490
   Log-Normal     0.9420          0.9400       0.9428            0.9410
  
  Power of 5% level test:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     1.0000          1.0000       1.0000            1.0000
   Log-Normal     1.0000          1.0000       1.0000            1.0000
  Values are:
  	Point Estimate
  
     
  Parameter: fv 
  
  Non-missing point estimates/standard errors:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma        976            1000          971              1000
   Log-Normal        957            1000          997              1000
  
  Average point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.7376          0.9799       0.7321            0.9847
   Log-Normal     0.6436          0.7325       0.6434            0.7348
  
  Median point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.7271          0.9566       0.7225            0.9597
   Log-Normal     0.6365          0.7182       0.6324            0.7199
  
  Average variance:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0203          0.0600       0.0202            0.0498
   Log-Normal     0.0156          0.0230       0.0158            0.0254
  
  Median variance:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0193          0.0483       0.0191            0.0442
   Log-Normal     0.0149          0.0206       0.0149            0.0235
  
  Bias in point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.0124          0.2299      -0.0179            0.2347
   Log-Normal    -0.1064         -0.0175      -0.1066           -0.0152
  
  Empirical standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.1421          0.2406       0.1387            0.2438
   Log-Normal     0.1320          0.1554       0.1307            0.1570
  
  % gain in precision relative to method Cox, Gamma:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0000        -65.1290       5.0048          -66.0342
   Log-Normal     0.0000        -27.8283       2.0492          -29.3058
  
  Mean squared error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0203          0.1107       0.0195            0.1145
   Log-Normal     0.0287          0.0244       0.0284            0.0248
  
  Model-based standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.1426          0.2449       0.1420            0.2232
   Log-Normal     0.1249          0.1517       0.1258            0.1594
  
  Relative % error in standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.3574          1.7896       2.3922           -8.4531
   Log-Normal    -5.3912         -2.3382      -3.7112            1.5422
  
  Coverage of nominal 95% confidence interval:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.9201          0.9220       0.9300            0.9030
   Log-Normal     0.7503          0.9020       0.7683            0.9280
  
  Bias-eliminated coverage of nominal 95% confidence interval:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.9334          0.8980       0.9434            0.8930
   Log-Normal     0.9164          0.9130       0.9308            0.9360
  
  Power of 5% level test:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     1.0000          1.0000       1.0000            1.0000
   Log-Normal     1.0000          1.0000       1.0000            1.0000
  
   -------------------------------------------------------------------------------- 
   
  Parameter: trt 
  
  Non-missing point estimates/standard errors:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma       1000            1000          971              1000
   Log-Normal       1000            1000          997              1000
  
  Average point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.5006         -0.5013      -0.5003           -0.5015
   Log-Normal    -0.5006         -0.5014      -0.5006           -0.5016
  
  Median point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.5011         -0.5021      -0.5010           -0.5025
   Log-Normal    -0.5014         -0.5021      -0.5014           -0.5022
  
  Average variance:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0026          0.0026       0.0026            0.0026
   Log-Normal     0.0023          0.0023       0.0023            0.0023
  
  Median variance:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0026          0.0026       0.0026            0.0026
   Log-Normal     0.0022          0.0022       0.0022            0.0022
  
  Bias in point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.0006         -0.0013      -0.0003           -0.0015
   Log-Normal    -0.0006         -0.0014      -0.0006           -0.0016
  
  Empirical standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0508          0.0509       0.0506            0.0509
   Log-Normal     0.0474          0.0474       0.0473            0.0474
  
  % gain in precision relative to method Cox, Gamma:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0000         -0.4457       0.4394           -0.5782
   Log-Normal     0.0000         -0.1417       0.0918           -0.2078
  
  Mean squared error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0026          0.0026       0.0026            0.0026
   Log-Normal     0.0022          0.0022       0.0022            0.0022
  
  Model-based standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0506          0.0507       0.0506            0.0507
   Log-Normal     0.0475          0.0475       0.0475            0.0475
  
  Relative % error in standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.2017         -0.3890      -0.0544           -0.4330
   Log-Normal     0.2507          0.1815       0.3319            0.2101
  
  Coverage of nominal 95% confidence interval:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.9500          0.9490       0.9506            0.9500
   Log-Normal     0.9410          0.9420       0.9428            0.9430
  
  Bias-eliminated coverage of nominal 95% confidence interval:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.9500          0.9500       0.9506            0.9490
   Log-Normal     0.9420          0.9400       0.9428            0.9410
  
  Power of 5% level test:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     1.0000          1.0000       1.0000            1.0000
   Log-Normal     1.0000          1.0000       1.0000            1.0000
  Values are:
  	Point Estimate
  
     
  Parameter: fv 
  
  Non-missing point estimates/standard errors:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma        976            1000          971              1000
   Log-Normal        957            1000          997              1000
  
  Average point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.7376          0.9799       0.7321            0.9847
   Log-Normal     0.6436          0.7325       0.6434            0.7348
  
  Median point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.7271          0.9566       0.7225            0.9597
   Log-Normal     0.6365          0.7182       0.6324            0.7199
  
  Average variance:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0203          0.0600       0.0202            0.0498
   Log-Normal     0.0156          0.0230       0.0158            0.0254
  
  Median variance:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0193          0.0483       0.0191            0.0442
   Log-Normal     0.0149          0.0206       0.0149            0.0235
  
  Bias in point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.0124          0.2299      -0.0179            0.2347
   Log-Normal    -0.1064         -0.0175      -0.1066           -0.0152
  
  Empirical standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.1421          0.2406       0.1387            0.2438
   Log-Normal     0.1320          0.1554       0.1307            0.1570
  
  % gain in precision relative to method Cox, Gamma:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0000        -65.1290       5.0048          -66.0342
   Log-Normal     0.0000        -27.8283       2.0492          -29.3058
  
  Mean squared error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0203          0.1107       0.0195            0.1145
   Log-Normal     0.0287          0.0244       0.0284            0.0248
  
  Model-based standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.1426          0.2449       0.1420            0.2232
   Log-Normal     0.1249          0.1517       0.1258            0.1594
  
  Relative % error in standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.3574          1.7896       2.3922           -8.4531
   Log-Normal    -5.3912         -2.3382      -3.7112            1.5422
  
  Coverage of nominal 95% confidence interval:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.9201          0.9220       0.9300            0.9030
   Log-Normal     0.7503          0.9020       0.7683            0.9280
  
  Bias-eliminated coverage of nominal 95% confidence interval:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.9334          0.8980       0.9434            0.8930
   Log-Normal     0.9164          0.9130       0.9308            0.9360
  
  Power of 5% level test:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     1.0000          1.0000       1.0000            1.0000
   Log-Normal     1.0000          1.0000       1.0000            1.0000
  
   -------------------------------------------------------------------------------- 
   
  Parameter: trt 
  
  Non-missing point estimates/standard errors:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma       1000            1000          971              1000
   Log-Normal       1000            1000          997              1000
  
  Average point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.5006         -0.5013      -0.5003           -0.5015
   Log-Normal    -0.5006         -0.5014      -0.5006           -0.5016
  
  Median point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.5011         -0.5021      -0.5010           -0.5025
   Log-Normal    -0.5014         -0.5021      -0.5014           -0.5022
  
  Average variance:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0026          0.0026       0.0026            0.0026
   Log-Normal     0.0023          0.0023       0.0023            0.0023
  
  Median variance:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0026          0.0026       0.0026            0.0026
   Log-Normal     0.0022          0.0022       0.0022            0.0022
  
  Bias in point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.0006         -0.0013      -0.0003           -0.0015
   Log-Normal    -0.0006         -0.0014      -0.0006           -0.0016
  
  Empirical standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0508          0.0509       0.0506            0.0509
   Log-Normal     0.0474          0.0474       0.0473            0.0474
  
  % gain in precision relative to method Cox, Gamma:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0000         -0.4457       0.4394           -0.5782
   Log-Normal     0.0000         -0.1417       0.0918           -0.2078
  
  Mean squared error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0026          0.0026       0.0026            0.0026
   Log-Normal     0.0022          0.0022       0.0022            0.0022
  
  Model-based standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0506          0.0507       0.0506            0.0507
   Log-Normal     0.0475          0.0475       0.0475            0.0475
  
  Relative % error in standard error:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.2017         -0.3890      -0.0544           -0.4330
   Log-Normal     0.2507          0.1815       0.3319            0.2101
  
  Coverage of nominal 95% confidence interval:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.9500          0.9490       0.9506            0.9500
   Log-Normal     0.9410          0.9420       0.9428            0.9430
  
  Bias-eliminated coverage of nominal 95% confidence interval:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.9500          0.9500       0.9506            0.9490
   Log-Normal     0.9420          0.9400       0.9428            0.9410
  
  Power of 5% level test:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     1.0000          1.0000       1.0000            1.0000
   Log-Normal     1.0000          1.0000       1.0000            1.0000
  Values are:
  	Point Estimate
  
  Non-missing point estimates/standard errors:
     CC MI_LOGT MI_T
   1000    1000 1000
  
  Average point estimate:
       CC MI_LOGT   MI_T
   0.5168  0.5009 0.4988
  
  Median point estimate:
       CC MI_LOGT   MI_T
   0.5070  0.4969 0.4939
  
  Average variance:
       CC MI_LOGT   MI_T
   0.0216  0.0182 0.0179
  
  Median variance:
       CC MI_LOGT   MI_T
   0.0211  0.0172 0.0169
  
  Bias in point estimate:
       CC MI_LOGT    MI_T
   0.0168  0.0009 -0.0012
  
  Empirical standard error:
       CC MI_LOGT   MI_T
   0.1511  0.1320 0.1344
  
  % gain in precision relative to method CC:
       CC MI_LOGT    MI_T
   0.0000 31.0463 26.3682
  
  Mean squared error:
       CC MI_LOGT   MI_T
   0.0231  0.0174 0.0181
  
  Model-based standard error:
       CC MI_LOGT   MI_T
   0.1471  0.1349 0.1338
  
  Relative % error in standard error:
        CC MI_LOGT    MI_T
   -2.6594  2.2233 -0.4412
  
  Coverage of nominal 95% confidence interval:
       CC MI_LOGT   MI_T
   0.9430  0.9490 0.9430
  
  Bias-eliminated coverage of nominal 95% confidence interval:
       CC MI_LOGT   MI_T
   0.9400  0.9490 0.9430
  
  Power of 5% level test:
       CC MI_LOGT   MI_T
   0.9460  0.9690 0.9630
  Values are:
  	Point Estimate
  
  Non-missing point estimates/standard errors:
     CC MI_LOGT MI_T
   1000    1000 1000
  
  Average point estimate:
       CC MI_LOGT   MI_T
   0.5168  0.5009 0.4988
  
  Median point estimate:
       CC MI_LOGT   MI_T
   0.5070  0.4969 0.4939
  
  Average variance:
       CC MI_LOGT   MI_T
   0.0216  0.0182 0.0179
  
  Median variance:
       CC MI_LOGT   MI_T
   0.0211  0.0172 0.0169
  
  Bias in point estimate:
       CC MI_LOGT    MI_T
   0.0168  0.0009 -0.0012
  
  Empirical standard error:
       CC MI_LOGT   MI_T
   0.1511  0.1320 0.1344
  
  % gain in precision relative to method CC:
       CC MI_LOGT    MI_T
   0.0000 31.0463 26.3682
  
  Mean squared error:
       CC MI_LOGT   MI_T
   0.0231  0.0174 0.0181
  
  Model-based standard error:
       CC MI_LOGT   MI_T
   0.1471  0.1349 0.1338
  
  Relative % error in standard error:
        CC MI_LOGT    MI_T
   -2.6594  2.2233 -0.4412
  
  Coverage of nominal 95% confidence interval:
       CC MI_LOGT   MI_T
   0.9430  0.9490 0.9430
  
  Bias-eliminated coverage of nominal 95% confidence interval:
       CC MI_LOGT   MI_T
   0.9400  0.9490 0.9430
  
  Power of 5% level test:
       CC MI_LOGT   MI_T
   0.9460  0.9690 0.9630
  Values are:
  	Point Estimate
  
  Non-missing point estimates/standard errors:
     CC MI_LOGT MI_T
   1000    1000 1000
  
  Average point estimate:
       CC MI_LOGT   MI_T
   0.5168  0.5009 0.4988
  
  Median point estimate:
       CC MI_LOGT   MI_T
   0.5070  0.4969 0.4939
  
  Average variance:
       CC MI_LOGT   MI_T
   0.0216  0.0182 0.0179
  
  Median variance:
       CC MI_LOGT   MI_T
   0.0211  0.0172 0.0169
  
  Bias in point estimate:
       CC MI_LOGT    MI_T
   0.0168  0.0009 -0.0012
  
  Empirical standard error:
       CC MI_LOGT   MI_T
   0.1511  0.1320 0.1344
  
  % gain in precision relative to method CC:
       CC MI_LOGT    MI_T
   0.0000 31.0463 26.3682
  
  Mean squared error:
       CC MI_LOGT   MI_T
   0.0231  0.0174 0.0181
  
  Model-based standard error:
       CC MI_LOGT   MI_T
   0.1471  0.1349 0.1338
  
  Relative % error in standard error:
        CC MI_LOGT    MI_T
   -2.6594  2.2233 -0.4412
  
  Coverage of nominal 95% confidence interval:
       CC MI_LOGT   MI_T
   0.9430  0.9490 0.9430
  
  Bias-eliminated coverage of nominal 95% confidence interval:
       CC MI_LOGT   MI_T
   0.9400  0.9490 0.9430
  
  Power of 5% level test:
       CC MI_LOGT   MI_T
   0.9460  0.9690 0.9630
  == testthat results  ===========================================================
  [ OK: 649 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
  1. Error: multisimsum with 'true' as a column returns the same results as using a scalar value if each row has the same value (@test-#15.R#41) 
  2. Error: multisimsum with 'true' as a column returns different results compared to using a scalar value if each row has a different value (@test-#15.R#54) 
  
  Error: testthat unit tests failed
  Execution halted