Running 'testthat.R' [181s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(rsimsum)
  > 
  > test_check("rsimsum")
  Values are:
  	Point Estimate (Monte Carlo Standard Error)
  
  Bias in point estimate:
      baseline   n              Cox              Exp            RP(2)
   Exponential  50  0.0215 (0.0328)  0.0239 (0.0326)  0.0183 (0.0331)
   Exponential 250 -0.0215 (0.0149) -0.0214 (0.0151) -0.0227 (0.0149)
       Weibull  50 -0.0282 (0.0311)  0.1509 (0.0204) -0.0348 (0.0311)
       Weibull 250 -0.0120 (0.0133)  0.1482 (0.0093) -0.0139 (0.0137)
  Values are:
  	Point Estimate (Monte Carlo Standard Error)
  
  Bias in point estimate:
      baseline   n              Cox              Exp            RP(2)
   Exponential  50  0.0215 (0.0328)  0.0239 (0.0326)  0.0183 (0.0331)
   Exponential 250 -0.0215 (0.0149) -0.0214 (0.0151) -0.0227 (0.0149)
       Weibull  50 -0.0282 (0.0311)  0.1509 (0.0204) -0.0348 (0.0311)
       Weibull 250 -0.0120 (0.0133)  0.1482 (0.0093) -0.0139 (0.0137)
  
  Coverage of nominal 95% confidence interval:
      baseline   n             Cox             Exp           RP(2)
   Exponential  50 0.9500 (0.0218) 0.9400 (0.0237) 0.9500 (0.0218)
   Exponential 250 0.9300 (0.0255) 0.9200 (0.0271) 0.9300 (0.0255)
       Weibull  50 0.9700 (0.0171) 0.9900 (0.0099) 0.9500 (0.0218)
       Weibull 250 0.9400 (0.0237) 0.8500 (0.0357) 0.9400 (0.0237)
  Values are:
  	Point Estimate (Monte Carlo Standard Error)
  
  Bias in point estimate:
      baseline   n              Cox              Exp            RP(2)
   Exponential  50  0.0215 (0.0328)  0.0239 (0.0326)  0.0183 (0.0331)
   Exponential 250 -0.0215 (0.0149) -0.0214 (0.0151) -0.0227 (0.0149)
       Weibull  50 -0.0282 (0.0311)  0.1509 (0.0204) -0.0348 (0.0311)
       Weibull 250 -0.0120 (0.0133)  0.1482 (0.0093) -0.0139 (0.0137)
  
  Mean squared error:
      baseline   n             Cox             Exp           RP(2)
   Exponential  50 0.1073 (0.0149) 0.1056 (0.0146) 0.1089 (0.0154)
   Exponential 250 0.0224 (0.0028) 0.0229 (0.0028) 0.0225 (0.0028)
       Weibull  50 0.0968 (0.0117) 0.0640 (0.0083) 0.0970 (0.0117)
       Weibull 250 0.0177 (0.0027) 0.0305 (0.0033) 0.0187 (0.0028)
  
  Coverage of nominal 95% confidence interval:
      baseline   n             Cox             Exp           RP(2)
   Exponential  50 0.9500 (0.0218) 0.9400 (0.0237) 0.9500 (0.0218)
   Exponential 250 0.9300 (0.0255) 0.9200 (0.0271) 0.9300 (0.0255)
       Weibull  50 0.9700 (0.0171) 0.9900 (0.0099) 0.9500 (0.0218)
       Weibull 250 0.9400 (0.0237) 0.8500 (0.0357) 0.9400 (0.0237)
  Values are:
  	Point Estimate (Monte Carlo Standard Error)
  
     
  Parameter: fv 
  
  Bias in point estimate:
      fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma
        Gamma -0.0124 (0.0045)  0.2299 (0.0076) -0.0179 (0.0044)
   Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041)
   RP(P), Log-Normal
     0.2347 (0.0077)
    -0.0152 (0.0050)
  
   -------------------------------------------------------------------------------- 
   
  Parameter: trt 
  
  Bias in point estimate:
      fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma
        Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016)
   Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015)
   RP(P), Log-Normal
    -0.0015 (0.0016)
    -0.0016 (0.0015)
  Values are:
  	Point Estimate (Monte Carlo Standard Error)
  
     
  Parameter: fv 
  
  Bias in point estimate:
      fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma
        Gamma -0.0124 (0.0045)  0.2299 (0.0076) -0.0179 (0.0044)
   Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041)
   RP(P), Log-Normal
     0.2347 (0.0077)
    -0.0152 (0.0050)
  
  Coverage of nominal 95% confidence interval:
      fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal
        Gamma 0.9201 (0.0087) 0.9220 (0.0085) 0.9300 (0.0082)   0.9030 (0.0094)
   Log-Normal 0.7503 (0.0140) 0.9020 (0.0094) 0.7683 (0.0134)   0.9280 (0.0082)
  
   -------------------------------------------------------------------------------- 
   
  Parameter: trt 
  
  Bias in point estimate:
      fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma
        Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016)
   Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015)
   RP(P), Log-Normal
    -0.0015 (0.0016)
    -0.0016 (0.0015)
  
  Coverage of nominal 95% confidence interval:
      fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal
        Gamma 0.9500 (0.0069) 0.9490 (0.0070) 0.9506 (0.0070)   0.9500 (0.0069)
   Log-Normal 0.9410 (0.0075) 0.9420 (0.0074) 0.9428 (0.0074)   0.9430 (0.0073)
  Values are:
  	Point Estimate (Monte Carlo Standard Error)
  
     
  Parameter: fv 
  
  Bias in point estimate:
      fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma
        Gamma -0.0124 (0.0045)  0.2299 (0.0076) -0.0179 (0.0044)
   Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041)
   RP(P), Log-Normal
     0.2347 (0.0077)
    -0.0152 (0.0050)
  
  Mean squared error:
      fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal
        Gamma 0.0203 (0.0010) 0.1107 (0.0055) 0.0195 (0.0009)   0.1145 (0.0057)
   Log-Normal 0.0287 (0.0010) 0.0244 (0.0011) 0.0284 (0.0010)   0.0248 (0.0012)
  
  Coverage of nominal 95% confidence interval:
      fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal
        Gamma 0.9201 (0.0087) 0.9220 (0.0085) 0.9300 (0.0082)   0.9030 (0.0094)
   Log-Normal 0.7503 (0.0140) 0.9020 (0.0094) 0.7683 (0.0134)   0.9280 (0.0082)
  
   -------------------------------------------------------------------------------- 
   
  Parameter: trt 
  
  Bias in point estimate:
      fv_dist       Cox, Gamma  Cox, Log-Normal     RP(P), Gamma
        Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016)
   Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015)
   RP(P), Log-Normal
    -0.0015 (0.0016)
    -0.0016 (0.0015)
  
  Mean squared error:
      fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal
        Gamma 0.0026 (0.0001) 0.0026 (0.0001) 0.0026 (0.0001)   0.0026 (0.0001)
   Log-Normal 0.0022 (0.0001) 0.0022 (0.0001) 0.0022 (0.0001)   0.0022 (0.0001)
  
  Coverage of nominal 95% confidence interval:
      fv_dist      Cox, Gamma Cox, Log-Normal    RP(P), Gamma RP(P), Log-Normal
        Gamma 0.9500 (0.0069) 0.9490 (0.0070) 0.9506 (0.0070)   0.9500 (0.0069)
   Log-Normal 0.9410 (0.0075) 0.9420 (0.0074) 0.9428 (0.0074)   0.9430 (0.0073)
  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
  
  Relative bias in point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.0165          0.3066      -0.0239            0.3130
   Log-Normal    -0.1419         -0.0233      -0.1421           -0.0203
  
  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
  
  Relative bias in point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0011          0.0027       0.0006            0.0031
   Log-Normal     0.0012          0.0028       0.0013            0.0032
  
  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
  
  Relative bias in point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.0165          0.3066      -0.0239            0.3130
   Log-Normal    -0.1419         -0.0233      -0.1421           -0.0203
  
  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
  
  Relative bias in point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0011          0.0027       0.0006            0.0031
   Log-Normal     0.0012          0.0028       0.0013            0.0032
  
  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
  
  Relative bias in point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma    -0.0165          0.3066      -0.0239            0.3130
   Log-Normal    -0.1419         -0.0233      -0.1421           -0.0203
  
  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
  
  Relative bias in point estimate:
      fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal
        Gamma     0.0011          0.0027       0.0006            0.0031
   Log-Normal     0.0012          0.0028       0.0013            0.0032
  
  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
  
  Relative bias in point estimate:
       CC MI_LOGT    MI_T
   0.0335  0.0018 -0.0024
  
  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
  
  Relative bias in point estimate:
       CC MI_LOGT    MI_T
   0.0335  0.0018 -0.0024
  
  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
  
  Relative bias in point estimate:
       CC MI_LOGT    MI_T
   0.0335  0.0018 -0.0024
  
  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
  [ FAIL 0 | WARN 0 | SKIP 0 | PASS 789 ]
  > 
  > proc.time()
     user  system elapsed 
    22.23    1.75   23.98