• using R version 2.14.2 (2012-02-29)
  • using platform: i386-pc-mingw32 (32-bit)
  • using session charset: ISO8859-1
  • checking for file 'maxLik/DESCRIPTION' ... OK
  • this is package 'maxLik' version '1.1-2'
  • checking package namespace information ... OK
  • checking package dependencies ... OK
  • checking if this is a source package ... OK
  • checking if there is a namespace ... OK
  • checking whether package 'maxLik' can be installed ... OK
  • checking installed package size ... OK
  • checking package directory ... OK
  • checking for portable file names ... OK
  • checking DESCRIPTION meta-information ... OK
  • checking top-level files ... OK
  • checking index information ... OK
  • checking package subdirectories ... OK
  • checking R files for non-ASCII characters ... OK
  • checking R files for syntax errors ... OK
  • checking whether the package can be loaded ... OK
  • checking whether the package can be loaded with stated dependencies ... OK
  • checking whether the package can be unloaded cleanly ... OK
  • checking whether the namespace can be loaded with stated dependencies ... OK
  • checking whether the namespace can be unloaded cleanly ... OK
  • checking for unstated dependencies in R code ... OK
  • checking S3 generic/method consistency ... OK
  • checking replacement functions ... OK
  • checking foreign function calls ... OK
  • checking R code for possible problems ... NOTE
    logLikGrad: no visible binding for global variable 'lastFuncParam'
    logLikGrad: no visible binding for global variable 'lastFuncGrad'
  • checking Rd files ... OK
  • checking Rd metadata ... OK
  • checking Rd cross-references ... OK
  • checking for missing documentation entries ... OK
  • checking for code/documentation mismatches ... OK
  • checking Rd \usage sections ... OK
  • checking Rd contents ... OK
  • checking for unstated dependencies in examples ... OK
  • checking examples ... OK
  • checking for unstated dependencies in tests ... OK
  • checking tests ... OK
    Running 'BFGSR.R'
    Comparing 'BFGSR.Rout' to 'BFGSR.Rout.save' ...28c28
    < Function value: 1.183e+24
    ---
    > Function value: 8.104e+25
    31,33c31,33
    < [1,] 5.9320e+09 0
    < [2,] 2.9226e+10 0
    < [3,] 1.0872e+12 0
    ---
    > [1,] 6.2506e+12 0
    > [2,] 6.2506e+12 0
    > [3,] -1.7026e+12 0
    47c47
    < Function value: 2.4119e+21
    ---
    > Function value: 2.4071e+21
    50,52c50,52
    < [1,] 8877158828 0
    < [2,] 33431909639 0
    < [3,] -2635180904 0
    ---
    > [1,] 7684926721 0
    > [2,] 33806418069 0
    > [3,] -2319374069 0
    66c66
    < Number of iterations: 20
    ---
    > Number of iterations: 26
    72,73c72,73
    < [1,] -1.0270e-07 2.0539e-07
    < [2,] -9.0604e-08 1.8119e-07
    ---
    > [1,] 1.8402e-07 -3.6804e-07
    > [2,] 1.8402e-07 -3.6804e-07
    95c95
    < Number of iterations: 11
    ---
    > Number of iterations: 13
    101,102c101,102
    < [1,] 0.49988 -0.22308
    < [2,] 0.50009 -0.22318
    ---
    > [1,] 0.49999 -0.22313
    > [2,] 0.49999 -0.22313
    108c108
    < 5 outer iterations, barrier value 1.0137e-09
    ---
    > 5 outer iterations, barrier value 6.5361e-10
    Running 'constraints.R'
    Comparing 'constraints.Rout' to 'constraints.Rout.save' ...353,355c353,355
    < [1,] 0.5000 0.0256 19.5 <2e-16 ***
    < [2,] -1.0360 0.0581 -17.8 <2e-16 ***
    < [3,] 1.0106 0.0584 17.3 <2e-16 ***
    ---
    > [1,] 0.5000 0.0257 19.5 <2e-16 ***
    > [2,] -1.0360 0.0582 -17.8 <2e-16 ***
    > [3,] 1.0106 0.0585 17.3 <2e-16 ***
    373,374c373,374
    < iter 5 value 3739.836050
    < iter 6 value 3739.669310
    ---
    > iter 5 value 3739.836051
    > iter 6 value 3739.669311
    376,395c376,398
    < iter 8 value 3739.342554
    < iter 9 value 3739.271535
    < iter 10 value 3674.195391
    < iter 11 value 3671.068131
    < iter 12 value 3626.157704
    < iter 13 value 3589.946385
    < iter 14 value 3552.974009
    < iter 15 value 3551.811720
    < iter 16 value 3551.806145
    < iter 17 value 3551.796622
    < iter 18 value 3551.796375
    < iter 19 value 3551.782439
    < iter 20 value 3551.776228
    < iter 21 value 3551.776073
    < iter 22 value 3551.775690
    < iter 23 value 3551.774437
    < iter 24 value 3551.773439
    < iter 24 value 3551.773426
    < iter 24 value 3551.773425
    < final value 3551.773425
    ---
    > iter 8 value 3739.342555
    > iter 9 value 3739.271536
    > iter 10 value 3674.195892
    > iter 11 value 3671.068754
    > iter 12 value 3626.179862
    > iter 13 value 3589.958026
    > iter 14 value 3552.974654
    > iter 15 value 3551.811769
    > iter 16 value 3551.806189
    > iter 17 value 3551.796655
    > iter 18 value 3551.796407
    > iter 19 value 3551.782460
    > iter 20 value 3551.776241
    > iter 21 value 3551.776085
    > iter 22 value 3551.775694
    > iter 23 value 3551.775004
    > iter 24 value 3551.774150
    > iter 25 value 3551.773955
    > iter 26 value 3551.773847
    > iter 27 value 3551.773493
    > iter 27 value 3551.773487
    > iter 27 value 3551.773479
    > final value 3551.773479
    400c403
    < BFGS maximisation, 126 iterations
    ---
    > BFGS maximisation, 136 iterations
    407,408c410,411
    < [2,] -1.0360 0.0581 -17.8 <2e-16 ***
    < [3,] 1.0111 0.0584 17.3 <2e-16 ***
    ---
    > [2,] -1.0357 0.0581 -17.8 <2e-16 ***
    > [3,] 1.0112 0.0584 17.3 <2e-16 ***
    414c417
    < 1 outer iterations, barrier value -8.0817e-05
    ---
    > 1 outer iterations, barrier value -7.6798e-05
    487c490
    < initial value 3560.907807
    ---
    > initial value 3560.907808
    490c493
    < iter 4 value 3558.554875
    ---
    > iter 4 value 3558.554874
    510c513
    < initial value 3595.363567
    ---
    > initial value 3595.363566
    522c525
    < initial value 3575.687740
    ---
    > initial value 3575.687741
    890c893
    < initial value 3561.161194
    ---
    > initial value 3561.161193
    900,902c903,905
    < initial value 3623.062833
    < iter 2 value 3595.991939
    < iter 3 value 3595.709045
    ---
    > initial value 3623.062827
    > iter 2 value 3595.991937
    > iter 3 value 3595.709044
    911c914
    < initial value 3706.731798
    ---
    > initial value 3706.731799
    922,925c925,928
    < initial value 3633.375253
    < iter 2 value 3610.546095
    < iter 3 value 3610.527291
    < iter 4 value 3608.619658
    ---
    > initial value 3633.375248
    > iter 2 value 3610.546094
    > iter 3 value 3610.527290
    > iter 4 value 3608.619657
    933c936
    < initial value 3611.567446
    ---
    > initial value 3611.567445
    936c939
    < iter 4 value 3609.093783
    ---
    > iter 4 value 3609.093787
    944c947
    < initial value 3609.085219
    ---
    > initial value 3609.085218
    990c993
    < initial value 3561.161194
    ---
    > initial value 3561.161193
    1000,1002c1003,1005
    < initial value 3623.062833
    < iter 2 value 3595.991939
    < iter 3 value 3595.709045
    ---
    > initial value 3623.062827
    > iter 2 value 3595.991937
    > iter 3 value 3595.709044
    1011c1014
    < initial value 3706.731798
    ---
    > initial value 3706.731799
    1022,1025c1025,1028
    < initial value 3633.375253
    < iter 2 value 3610.546095
    < iter 3 value 3610.527291
    < iter 4 value 3608.619658
    ---
    > initial value 3633.375248
    > iter 2 value 3610.546094
    > iter 3 value 3610.527290
    > iter 4 value 3608.619657
    1033c1036
    < initial value 3611.567446
    ---
    > initial value 3611.567445
    1036c1039
    < iter 4 value 3609.093783
    ---
    > iter 4 value 3609.093787
    1044c1047
    < initial value 3609.085219
    ---
    > initial value 3609.085218
    1141c1144
    < [1,] -1.3034 0.0458 -28.5 <2e-16 ***
    ---
    > [1,] -1.3034 0.0458 -28.4 <2e-16 ***
    1179c1182
    < BFGS maximisation, 40 iterations
    ---
    > BFGS maximisation, 38 iterations
    1216c1219
    < BFGS maximisation, 40 iterations
    ---
    > BFGS maximisation, 38 iterations
    Running 'examples.R'
    Comparing 'examples.Rout' to 'examples.Rout.save' ...17c17
    < [1] 3.3561e-11 6.1608e-11
    ---
    > [1] -3.3317e-11 -5.6433e-11
    20c20
    < [1] -1.1102e-10 -1.1102e-10
    ---
    > [1] 1.1102e-10 1.1102e-10
    56,57c56,57
    < [1,] 3.3561e-11 -1.1102e-10
    < [2,] 6.1608e-11 -1.1102e-10
    ---
    > [1,] -3.3317e-11 1.1102e-10
    > [2,] -5.6433e-11 1.1102e-10
    203c203
    < [1] -5.6843e-08 -5.6843e-08
    ---
    > [1] 0.0000e+00 5.6843e-08
    207,208c207,208
    < [1,] -1004.9 0.0
    < [2,] 0.0 -2009.7
    ---
    > [1,] -1004.8 0.0
    > [2,] 0.0 -2009.8
    252,253c252,253
    < [1,] -1004.9 0.0
    < [2,] 0.0 -2009.7
    ---
    > [1,] -1004.8 0.0
    > [2,] 0.0 -2009.8
    256,257c256,257
    < [1,] 0.031546 0.000000
    < [2,] 0.000000 0.022307
    ---
    > [1,] 0.031547 0.000000
    > [2,] 0.000000 0.022306
    259c259
    < [1] 0.031546 0.022307
    ---
    > [1] 0.031547 0.022306
    276c276
    < [1,] -999.99 NA
    ---
    > [1,] -1000 NA
    319c319
    < [1,] -999.99 NA
    ---
    > [1,] -1000 NA
    324c324
    < [1,] 0.031623
    ---
    > [1,] 0.031622
    327c327
    < [1] 0.031623 0.000000
    ---
    > [1] 0.031622 0.000000
    346c346
    < [1] 1.585e-05
    ---
    > [1] 1.5834e-05
    350c350
    < [1,] -31.378
    ---
    > [1,] -31.292
    488c488
    < [1,] 3.19 1.585e-05
    ---
    > [1,] 3.19 1.5834e-05
    684c684
    < [1] -4.7751e-05
    ---
    > [1] -4.7753e-05
    824c824
    < [1,] 2.1979 -4.7751e-05
    ---
    > [1,] 2.1979 -4.7753e-05
    1009c1009
    < [1] 3.8675e-07
    ---
    > [1] -5.4529e-07
    1013c1013
    < [1,] -22.78
    ---
    > [1,] -22.759
    1043,1044c1043,1044
    < [9,] 0.3749330
    < [10,] 0.4544985
    ---
    > [9,] 0.3749329
    > [10,] 0.4544984
    1049c1049
    < [15,] -0.1279175
    ---
    > [15,] -0.1279176
    1056c1056
    < [22,] 0.1609605
    ---
    > [22,] 0.1609604
    1095,1096c1095,1096
    < [61,] -0.0034620
    < [62,] -0.0569845
    ---
    > [61,] -0.0034621
    > [62,] -0.0569846
    1116,1117c1116,1117
    < [82,] 0.4721639
    < [83,] 0.2493489
    ---
    > [82,] 0.4721638
    > [83,] 0.2493488
    1122,1123c1122,1123
    < [88,] 0.4639581
    < [89,] -0.4283272
    ---
    > [88,] 0.4639580
    > [89,] -0.4283273
    1349c1349
    < [1] -6.0751e-07
    ---
    > [1] -2.4158e-07
    1353c1353
    < [1,] -21.6
    ---
    > [1,] -21.618
    1384c1384
    < [1,] 2.151 -6.0751e-07
    ---
    > [1,] 2.151 -2.4158e-07
    1448c1448
    < [1] 1.1102e-10 1.1102e-10
    ---
    > [1] 1.1102e-10 0.0000e+00
    1452,1453c1452,1453
    < [1,] -2 0.0000
    < [2,] 0 -2.0002
    ---
    > [1,] -2.0002 0.0000
    > [2,] 0.0000 -2.0002
    1485c1485
    < [2,] 1 1.1102e-10
    ---
    > [2,] 1 0.0000e+00
    1499c1499
    < [1] 6.6613e-09 3.1086e-09
    ---
    > [1] 1.0880e-08 5.3291e-09
    1503,1504c1503,1504
    < [1,] -2 0.0000
    < [2,] 0 -2.0002
    ---
    > [1,] -2 0
    > [2,] 0 -2
    1520c1520
    < 31
    ---
    > 26
    1533c1533
    < Number of iterations: 31
    ---
    > Number of iterations: 26
    1539,1540c1539,1540
    < [1,] 2 6.6613e-09
    < [2,] 1 3.1086e-09
    ---
    > [1,] 2 1.0880e-08
    > [2,] 1 5.3291e-09
    1827d1826
    < -----Iteration 6 -----
    1830c1829
    < 6 iterations
    ---
    > 5 iterations
    1841c1840
    < [1] 2.6645e-09
    ---
    > [1] -5.2908e-07
    1845c1844
    < [1,] -17.266
    ---
    > [1,] -17.275
    1860c1859
    < [1] 6
    ---
    > [1] 5
    1972c1971
    < Newton-Raphson maximisation, 6 iterations
    ---
    > Newton-Raphson maximisation, 5 iterations
    1979c1978
    < Newton-Raphson maximisation, 6 iterations
    ---
    > Newton-Raphson maximisation, 5 iterations
    1999c1998
    < [1] 5.2458e-14
    ---
    > [1] 5.2236e-14
    2343c2342
    < [1] 2.2649e-08
    ---
    > [1] -3.4694e-08
    2347c2346
    < [1,] -28.813
    ---
    > [1,] -28.791
    2480c2479
    < [1,] 0.034707
    ---
    > [1,] 0.034733
    Running 'finalHessian.R'
    Comparing 'finalHessian.Rout' to 'finalHessian.Rout.save' ... OK
    Running 'fitExpDist.R'
    Comparing 'fitExpDist.Rout' to 'fitExpDist.Rout.save' ...55c55
    < [1] -4.2261e-07
    ---
    > [1] -3.8042e-07
    59c59
    < [1,] -22.329
    ---
    > [1,] -22.332
    187,188c187,188
    < [1] "Component 3: Mean relative difference: 0.024974"
    < [2] "Component 4: Mean relative difference: 0.00015908"
    ---
    > [1] "Component 3: Mean relative difference: 0.48766"
    > [2] "Component 4: Mean relative difference: 0.00047702"
    195,196c195,196
    < [1] "Component 3: Mean relative difference: 7.9742"
    < [2] "Component 4: Mean relative difference: 0.00036976"
    ---
    > [1] "Component 3: Mean relative difference: 7.2779"
    > [2] "Component 4: Mean relative difference: 0.00021071"
    233,234c233,234
    < [1] "Component 2: Mean relative difference: 3.5848e-08"
    < [2] "Component 3: Mean relative difference: 1.3306"
    ---
    > [1] "Component 2: Mean relative difference: 3.4951e-08"
    > [2] "Component 3: Mean relative difference: 1.2976"
    236,237c236,237
    < [4] "Component 4: Mean relative difference: 0.027613"
    < [5] "Component 8: Mean relative difference: 5.0093e-08"
    ---
    > [4] "Component 4: Mean relative difference: 0.027776"
    > [5] "Component 8: Mean relative difference: 4.885e-08"
    276,279c276,279
    < [1] "Component 2: Mean relative difference: 2.972e-08"
    < [2] "Component 3: Mean relative difference: 1.4328"
    < [3] "Component 4: Mean relative difference: 0.00079491"
    < [4] "Component 7: Mean relative difference: 4.1207e-08"
    ---
    > [1] "Component 2: Mean relative difference: 2.8629e-08"
    > [2] "Component 3: Mean relative difference: 1.3939"
    > [3] "Component 4: Mean relative difference: 0.00063593"
    > [4] "Component 7: Mean relative difference: 3.9649e-08"
    283c283
    < [1] "Component 3: Mean relative difference: 0.0031934"
    ---
    > [1] "Component 3: Mean relative difference: 0.000517"
    290c290
    < [1] "Component 3: Mean relative difference: 0.0037246"
    ---
    > [1] "Component 3: Mean relative difference: 0.0072872"
    332,334c332,334
    < [1] "Component 2: Mean relative difference: 7.3494e-05"
    < [2] "Component 3: Mean relative difference: 0.99988"
    < [3] "Component 4: Mean relative difference: 0.00079491"
    ---
    > [1] "Component 2: Mean relative difference: 7.3495e-05"
    > [2] "Component 3: Mean relative difference: 0.99989"
    > [3] "Component 4: Mean relative difference: 0.00047702"
    347c347
    < [2] "Component 4: Mean relative difference: 0.00057257"
    ---
    > [2] "Component 4: Mean relative difference: 0.0004135"
    383,386c383,385
    < [1] "Component 2: Mean relative difference: 1.0121e-05"
    < [2] "Component 3: Mean relative difference: 0.99912"
    < [3] "Component 4: Mean relative difference: 0.00079491"
    < [4] "Component 7: Mean relative difference: 1.4088e-05"
    ---
    > [1] "Component 2: Mean relative difference: 1.0122e-05"
    > [2] "Component 3: Mean relative difference: 0.99921"
    > [3] "Component 7: Mean relative difference: 1.409e-05"
    393,394c392,393
    < [1] "Component 3: Mean relative difference: 6.1255e-06"
    < [2] "Component 4: Mean relative difference: 0.00044576"
    ---
    > [1] "Component 3: Mean relative difference: 6.7051e-06"
    > [2] "Component 4: Mean relative difference: 0.00019046"
    459c458
    < as.Date, as.Date.numeric
    ---
    > as.Date
    542c541
    < [1,] 4.4785
    ---
    > [1,] 4.4778
    560c559
    < [1,] 4.475
    ---
    > [1,] 4.4757
    566c565
    < [1,] 4.475
    ---
    > [1,] 4.4778
    582,583c581,582
    < [1,] 0.043582
    < [1] "Mean relative difference: 0.027613"
    ---
    > [1,] 0.043568
    > [1] "Mean relative difference: 0.027776"
    606,607c605,606
    < [1,] 0.043513
    < [1] "Mean relative difference: 0.02843"
    ---
    > [1,] 0.043526
    > [1] "Mean relative difference: 0.028267"
    614,615c613,614
    < [1,] 0.043513
    < [1] "Mean relative difference: 0.02843"
    ---
    > [1,] 0.043568
    > [1] "Mean relative difference: 0.027776"
    Running 'fitNormalDist.R'
    Comparing 'fitNormalDist.Rout' to 'fitNormalDist.Rout.save' ...5646c5646
    < BFGS maximisation, 32 iterations
    ---
    > BFGS maximisation, 30 iterations
    5668c5668
    < [5] "Component 9: Mean relative difference: 0.030303"
    ---
    > [5] "Component 9: Mean relative difference: 0.090909"
    6220,6226c6220
    <
    < Attaching package: 'zoo'
    <
    < The following object(s) are masked from 'package:base':
    <
    < as.Date, as.Date.numeric
    <
    ---
    > Warning: locked binding of 'as.Date.numeric' will not be changed
    Running 'methods.R'
    Comparing 'methods.Rout' to 'methods.Rout.save' ... OK
    Running 'numericGradient.R'
    Comparing 'numericGradient.Rout' to 'numericGradient.Rout.save' ... OK
  • checking PDF version of manual ... OK