- using R version 3.0.1 (2013-05-16)
- using platform: i686-pc-linux-gnu (32-bit)
- using session charset: UTF-8
- 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 for executable files ... OK
- checking for hidden files and directories ... OK
- checking for portable file names ... OK
- checking for sufficient/correct file permissions ... OK
- checking whether package ‘maxLik’ can be installed ... OK
- checking installed package size ... OK
- checking package directory ... OK
- checking DESCRIPTION meta-information ... OK
- checking top-level files ... OK
- checking for left-over 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 loading without being on the library search path ... 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 ... [2s/2s] OK
- checking for unstated dependencies in tests ... OK
- checking tests ... [137s/138s] OK
Running ‘BFGSR.R’ [1s/1s]
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’ [77s/77s]
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
377,397c377,398
< iter 9 value 3739.271535
< iter 10 value 3674.196024
< iter 11 value 3671.068785
< iter 12 value 3626.165158
< iter 13 value 3589.950284
< iter 14 value 3552.974227
< iter 15 value 3551.811736
< iter 16 value 3551.806160
< iter 17 value 3551.796633
< iter 18 value 3551.796386
< iter 19 value 3551.782447
< iter 20 value 3551.776233
< iter 21 value 3551.776077
< iter 22 value 3551.775692
< iter 23 value 3551.774628
< iter 24 value 3551.773672
< iter 25 value 3551.773534
< iter 26 value 3551.773478
< iter 26 value 3551.773453
< iter 26 value 3551.773443
< final value 3551.773443
---
> 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
402c403
< BFGS maximisation, 132 iterations
---
> BFGS maximisation, 136 iterations
408,410c409,411
< [1,] 0.5000 0.0256 19.6 <2e-16 ***
< [2,] -1.0359 0.0580 -17.9 <2e-16 ***
< [3,] 1.0111 0.0583 17.3 <2e-16 ***
---
> [1,] 0.5000 0.0256 19.5 <2e-16 ***
> [2,] -1.0357 0.0581 -17.8 <2e-16 ***
> [3,] 1.0112 0.0584 17.3 <2e-16 ***
416c417
< 1 outer iterations, barrier value -7.2551e-05
---
> 1 outer iterations, barrier value -7.6798e-05
489c490
< initial value 3560.907807
---
> initial value 3560.907808
492c493
< iter 4 value 3558.554875
---
> iter 4 value 3558.554874
512c513
< initial value 3595.363567
---
> initial value 3595.363566
524c525
< initial value 3575.687740
---
> initial value 3575.687741
709c710
< [1,] -1.3034 0.0458 -28.5 <2e-16 ***
---
> [1,] -1.3034 0.0458 -28.4 <2e-16 ***
892c893
< initial value 3561.161194
---
> initial value 3561.161193
902,904c903,905
< 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
913c914
< initial value 3706.731798
---
> initial value 3706.731799
924,927c925,928
< 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
938c939
< iter 4 value 3609.093780
---
> iter 4 value 3609.093787
946c947
< initial value 3609.085219
---
> initial value 3609.085218
992c993
< initial value 3561.161194
---
> initial value 3561.161193
1002,1004c1003,1005
< 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
1013c1014
< initial value 3706.731798
---
> initial value 3706.731799
1024,1027c1025,1028
< 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
1038c1039
< iter 4 value 3609.093780
---
> iter 4 value 3609.093787
1046c1047
< initial value 3609.085219
---
> initial value 3609.085218
1143c1144
< [1,] -1.3034 0.0458 -28.5 <2e-16 ***
---
> [1,] -1.3034 0.0458 -28.4 <2e-16 ***
1181c1182
< BFGS maximisation, 40 iterations
---
> BFGS maximisation, 38 iterations
1218c1219
< BFGS maximisation, 40 iterations
---
> BFGS maximisation, 38 iterations
Running ‘examples.R’ [1s/1s]
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 0.0000e+00
---
> [1] 0.0000e+00 5.6843e-08
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’ [1s/1s]
Comparing ‘finalHessian.Rout’ to ‘finalHessian.Rout.save’ ... OK
Running ‘fitExpDist.R’ [2s/2s]
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"
308c308
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
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"
341c341
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
347c347
< [2] "Component 4: Mean relative difference: 0.00057257"
---
> [2] "Component 4: Mean relative difference: 0.0004135"
353c353
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
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: 0.00015908"
< [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"
457c456
< The following object is masked from 'package:base':
---
> The following object(s) are masked from 'package:base':
459c458
< as.Date, as.Date.numeric
---
> as.Date
542c541
< [1,] 4.4785
---
> [1,] 4.4778
560c559
< [1,] 4.475
---
> [1,] 4.4757
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"
Running ‘fitNormalDist.R’ [55s/55s]
Comparing ‘fitNormalDist.Rout’ to ‘fitNormalDist.Rout.save’ ...165c165
< sigma 1.816 0.128 14.1 < 2e-16 ***
---
> sigma 1.816 0.128 14.2 < 2e-16 ***
179c179
< sigma 1.6686
---
> sigma 1.6667
182,183c182,183
< mu -30.325964 -0.028422
< sigma -0.028422 -60.623506
---
> mu -30.326 0.000
> sigma 0.000 -60.652
201,202c201,202
< mu 3.2975e-02 -1.5459e-05
< sigma -1.5459e-05 1.6495e-02
---
> mu 0.032975 0.000000
> sigma 0.000000 0.016488
215c215
< mu 1.181 0.182 6.5 7.9e-11 ***
---
> mu 1.181 0.182 6.5 8.1e-11 ***
221c221
< [1] "Component 3: Mean relative difference: 0.0014052"
---
> [1] "Component 3: Mean relative difference: 0.00093721"
256,257c256,257
< [1] "Component 3: Mean relative difference: 1.0589"
< [2] "Component 4: Mean relative difference: 0.00094782"
---
> [1] "Component 3: Mean relative difference: 1.0121"
> [2] "Component 4: Mean relative difference: 0.00063571"
260,261c260,262
< [1] "Component 3: Mean relative difference: 1.0569"
< [2] "Component 4: Mean relative difference: 0.00041316"
---
> [1] "Component 3: Mean relative difference: 0.98526"
> [2] "Component 4: Mean relative difference: 0.00030178"
> [3] "Component 11: Mean relative difference: 1.5624e-08"
491,492c492,493
< [1] "Component 2: Mean relative difference: 2.5466e-07"
< [2] "Component 3: Mean relative difference: 147.94"
---
> [1] "Component 2: Mean relative difference: 2.6258e-07"
> [2] "Component 3: Mean relative difference: 34.092"
494c495
< [4] "Component 4: Mean relative difference: 0.093625"
---
> [4] "Component 4: Mean relative difference: 0.094592"
598c599
< [97,] 1.271019 2.3839880
---
> [97,] 1.271019 2.3839881
610c611
< [2] "Component 4: Mean relative difference: 0.094793"
---
> [2] "Component 4: Mean relative difference: 0.093944"
613,614c614,615
< mu -30.297542 0.028422
< sigma 0.028422 -60.623506
---
> mu -30.298 0.000
> sigma 0.000 -60.595
688c689
< [1] "Component 3: Mean relative difference: 0.0012691"
---
> [1] "Component 3: Mean relative difference: 0.00015243"
809,810c810,811
< [1] "Component 3: Mean relative difference: 0.0012677"
< [2] "Component 4: Mean relative difference: 0.00083633"
---
> [1] "Component 3: Mean relative difference: 0.00015241"
> [2] "Component 4: Mean relative difference: 0.00030295"
817c818
< sigma 9.2734e-06 -6.0613e+01
---
> sigma 9.2760e-06 -6.0613e+01
974,976c975,977
< [1] "Component 2: Mean relative difference: 6.8052e-05"
< [2] "Component 3: Mean relative difference: 27138"
< [3] "Component 4: Mean relative difference: 0.003123"
---
> [1] "Component 2: Mean relative difference: 6.806e-05"
> [2] "Component 3: Mean relative difference: 6106.9"
> [3] "Component 4: Mean relative difference: 0.0028116"
987,988c988,989
< mu 1.181 0.182 6.5 7.9e-11 ***
< sigma 1.816 0.128 14.1 < 2e-16 ***
---
> mu 1.181 0.182 6.5 8.1e-11 ***
> sigma 1.816 0.128 14.2 < 2e-16 ***
995c996
< [3] "Component 4: Mean relative difference: 0.0025"
---
> [3] "Component 4: Mean relative difference: 0.0028125"
1161,1162c1162,1163
< [1] "Component 3: Mean relative difference: 1.3509e-05"
< [2] "Component 4: Mean relative difference: 0.0002853"
---
> [1] "Component 3: Mean relative difference: 6.4387e-06"
> [2] "Component 4: Mean relative difference: 0.00065322"
1366,1367c1367,1368
< mu 1.181 0.182 6.5 8.1e-11 ***
< sigma 1.816 0.128 14.1 < 2e-16 ***
---
> mu 1.181 0.182 6.51 7.7e-11 ***
> sigma 1.816 0.128 14.15 < 2e-16 ***
1381c1382
< sigma 1.6674
---
> sigma 1.6679
1384,1385c1385,1386
< mu -30.298 0.000
< sigma 0.000 -60.624
---
> mu -30.354386 -0.028422
> sigma -0.028422 -60.651928
1401,1402c1402,1403
< mu 0.033006 0.000000
< sigma 0.000000 0.016495
---
> mu 3.2944e-02 -1.5438e-05
> sigma -1.5438e-05 1.6488e-02
1407,1409c1408,1410
< [2] "Component 2: Mean relative difference: 6.4723e-07"
< [3] "Component 3: Mean relative difference: 313.89"
< [4] "Component 4: Mean relative difference: 0.0028064"
---
> [2] "Component 2: Mean relative difference: 6.3918e-07"
> [3] "Component 3: Mean relative difference: 69.8"
> [4] "Component 4: Mean relative difference: 0.0028116"
1427c1428
< sigma 1.816 0.128 14.1 < 2e-16 ***
---
> sigma 1.816 0.128 14.2 < 2e-16 ***
1432,1433c1433,1434
< [1] "Component 3: Mean relative difference: 0.00093728"
< [2] "Component 4: Mean relative difference: 0.0028143"
---
> [1] "Component 3: Mean relative difference: 0.00040276"
> [2] "Component 4: Mean relative difference: 0.0046729"
1558,1559c1559,1560
< [1] "Component 3: Mean relative difference: 0.00076609"
< [2] "Component 4: Mean relative difference: 0.00021399"
---
> [1] "Component 3: Mean relative difference: 0.00048382"
> [2] "Component 4: Mean relative difference: 0.0015721"
1564c1565
< [4] "Component 4: Mean relative difference: 2.4727e-06"
---
> [4] "Component 4: Mean relative difference: 2.4729e-06"
1777,1779c1778,1780
< [2] "Component 2: Mean relative difference: 0.00011984"
< [3] "Component 3: Mean relative difference: 60960"
< [4] "Component 4: Mean relative difference: 0.0024984"
---
> [2] "Component 2: Mean relative difference: 0.00011983"
> [3] "Component 3: Mean relative difference: 13715"
> [4] "Component 4: Mean relative difference: 0.0021868"
1802c1803
< [1] "Component 3: Mean relative difference: 2.0078e-06"
---
> [1] "Component 3: Mean relative difference: 1.7799e-06"
2094c2095
< mu 1.182 0.182 6.5 7.8e-11 ***
---
> mu 1.182 0.182 6.5 7.9e-11 ***
2109c2110
< sigma 1.6713
---
> sigma 1.6727
2112c2113
< mu -30.297542 0.056843
---
> mu -30.269121 0.056843
2129,2130c2130,2131
< mu 3.3006e-02 3.0977e-05
< sigma 3.0977e-05 1.6511e-02
---
> mu 3.3037e-02 3.1006e-05
> sigma 3.1006e-05 1.6511e-02
2137,2138c2138,2139
< [4] "Component 3: Mean relative difference: 123419"
< [5] "Component 4: Mean relative difference: 0.0028107"
---
> [4] "Component 3: Mean relative difference: 27769"
> [5] "Component 4: Mean relative difference: 0.0028116"
2155,2156c2156,2157
< mu 1.182 0.182 6.5 7.9e-11 ***
< sigma 1.817 0.129 14.1 < 2e-16 ***
---
> mu 1.182 0.182 6.51 7.6e-11 ***
> sigma 1.817 0.128 14.14 < 2e-16 ***
2161,2162c2162,2163
< [1] "Component 3: Mean relative difference: 1.0058e-06"
< [2] "Component 4: Mean relative difference: 0.00062559"
---
> [1] "Component 3: Mean relative difference: 7.0334e-07"
> [2] "Component 4: Mean relative difference: 0.001875"
2287,2288c2288,2289
< [1] "Component 3: Mean relative difference: 1.0721e-06"
< [2] "Component 4: Mean relative difference: 0.0010711"
---
> [1] "Component 3: Mean relative difference: 7.2846e-07"
> [2] "Component 4: Mean relative difference: 0.001384"
2438c2439
< [4] "Component 4: Mean relative difference: 0.021699"
---
> [4] "Component 4: Mean relative difference: 0.022005"
2541c2542
< [1] "Component 3: Mean relative difference: 0.88281"
---
> [1] "Component 3: Mean relative difference: 0.28906"
2548c2549
< NA -3.3307e-09
---
> NA -3.6637e-08
2697c2698,2699
< [1] "Component 4: Mean relative difference: 0.00060569"
---
> [1] "Component 3: Mean relative difference: 1"
> [2] "Component 4: Mean relative difference: 0.00060569"
2700c2702
< NA -3.3307e-09
---
> NA -3.6637e-08
2703c2705
< NA 5.535e-13
---
> NA 5.5395e-13
2906,2907c2908,2909
< [1] "Component 2: Mean relative difference: 7.6868e-08"
< [2] "Component 3: Mean relative difference: 295.34"
---
> [1] "Component 2: Mean relative difference: 7.6903e-08"
> [2] "Component 3: Mean relative difference: 295.63"
2915c2917
< NA -8.4226e-06
---
> NA -8.4308e-06
3067c3069
< [1] "Component 3: Mean relative difference: 0.0028429"
---
> [1] "Component 3: Mean relative difference: 0.0018656"
3149c3151
< [1] "Component 3: Mean relative difference: 9.6781e-08"
---
> [1] "Component 3: Mean relative difference: 9.6699e-08"
3296c3298
< [1] TRUE
---
> [1] "Component 3: Mean relative difference: 1.6539e-08"
3429c3431
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
3435c3437
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
3443c3445
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
3508c3510
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
3620c3622
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
3628c3630
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
3640c3642
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
3646c3648
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
3654c3656
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
3678c3680
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
3792c3794
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
3800c3802
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
3808c3810
< one-dimensional optimization by Nelder-Mead is unreliable:
---
> one-diml optimization by Nelder-Mead is unreliable:
3840c3842
< sigma 1.825 0.129 14.2 <2e-16 ***
---
> sigma 1.825 0.129 14.1 <2e-16 ***
3856,3857c3858,3859
< mu -29.9849 -5.9117
< sigma -5.9117 -60.0551
---
> mu -29.9849 -5.9401
> sigma -5.9401 -59.9982
3874c3876
< sigma 0 0.016651
---
> sigma 0 0.016667
3880c3882
< [3] "Component 4: Mean relative difference: 0.0011858"
---
> [3] "Component 4: Mean relative difference: 0.00047348"
3884c3886
< [1] "Component 4: Mean relative difference: 0.0011862"
---
> [1] "Component 4: Mean relative difference: 0.00094757"
4010c4012
< [1] "Component 4: Mean relative difference: 0.0012299"
---
> [1] "Component 4: Mean relative difference: 0.00056838"
4181c4183
< sigma 3.613
---
> sigma 3.6086
4184,4185c4186,4187
< mu -35.413 -15.234
< sigma -15.234 -93.678
---
> mu -35.413 -15.206
> sigma -15.206 -93.621
4201,4202c4203,4204
< mu 0.0303618 -0.0049375
< sigma -0.0049375 0.0114778
---
> mu 0.0303547 -0.0049301
> sigma -0.0049301 0.0114821
4216,4217c4218,4219
< mu 0.820 0.174 4.71 2.5e-06 ***
< sigma 1.680 0.107 15.69 < 2e-16 ***
---
> mu 0.820 0.174 4.7 2.6e-06 ***
> sigma 1.680 0.107 15.7 < 2e-16 ***
4226,4227c4228,4230
< [1] "Component 4: Mean relative difference: 0.0018657"
< [2] "Component 11: Component 2: Mean relative difference: 4.871e-07"
---
> [1] "Component 3: Mean relative difference: 2.0253e-08"
> [2] "Component 4: Mean relative difference: 0.00066079"
> [3] "Component 11: Component 2: Mean relative difference: 7.9943e-07"
4339,4342c4342,4345
< [1] "Component 2: Mean relative difference: 3.0852e-08"
< [2] "Component 3: Mean relative difference: 1.4942e-07"
< [3] "Component 4: Mean relative difference: 0.00020669"
< [4] "Component 11: Component 2: Mean relative difference: 5.6792e-06"
---
> [1] "Component 2: Mean relative difference: 2.6426e-08"
> [2] "Component 3: Mean relative difference: 1.2831e-07"
> [3] "Component 4: Mean relative difference: 0.00058164"
> [4] "Component 11: Component 2: Mean relative difference: 4.753e-06"
4523,4526c4526,4529
< [1] "Component 1: Mean relative difference: 8.0984e-08"
< [2] "Component 2: Mean relative difference: 5.2803e-06"
< [3] "Component 3: Mean relative difference: 2.693e-05"
< [4] "Component 4: Mean relative difference: 0.0012942"
---
> [1] "Component 1: Mean relative difference: 8.099e-08"
> [2] "Component 2: Mean relative difference: 5.2847e-06"
> [3] "Component 3: Mean relative difference: 2.6951e-05"
> [4] "Component 4: Mean relative difference: 0.00066079"
4529c4532
< [7] "Component 11: Component 2: Mean relative difference: 0.011894"
---
> [7] "Component 11: Component 2: Mean relative difference: 0.011895"
4736c4739
< [4] "Component 4: Mean relative difference: 0.020128"
---
> [4] "Component 4: Mean relative difference: 0.020143"
4772c4775
< [4] "Component 4: Mean relative difference: 0.026339"
---
> [4] "Component 4: Mean relative difference: 0.026522"
4795,4796c4798,4799
< mu 0.820 0.174 4.7 2.6e-06 ***
< sigma 1.680 0.107 15.7 < 2e-16 ***
---
> mu 0.820 0.174 4.71 2.5e-06 ***
> sigma 1.680 0.107 15.69 < 2e-16 ***
4816c4819
< sigma 3.6128
---
> sigma 3.6106
4819,4820c4822,4823
< mu -35.385 -15.206
< sigma -15.206 -93.678
---
> mu -35.442 -15.234
> sigma -15.234 -93.706
4835,4836c4838,4839
< mu 0.0303795 -0.0049311
< sigma -0.0049311 0.0114753
---
> mu 0.0303350 -0.0049316
> sigma -0.0049316 0.0114734
4849,4850c4852,4853
< mu 0.820 0.174 4.7 2.6e-06 ***
< sigma 1.680 0.107 15.7 < 2e-16 ***
---
> mu 0.820 0.174 4.71 2.5e-06 ***
> sigma 1.680 0.107 15.68 < 2e-16 ***
4861c4864
< [1] "Component 4: Mean relative difference: 0.0006068"
---
> [1] "Component 4: Mean relative difference: 0.00060661"
4997c5000
< [4] "Component 4: Mean relative difference: 0.024997"
---
> [4] "Component 4: Mean relative difference: 0.024796"
5007c5010
< [4] "Component 4: Mean relative difference: 0.024631"
---
> [4] "Component 4: Mean relative difference: 0.025161"
5018c5021
< [1] "Component 11: Component 2: Mean relative difference: 5.2561e-08"
---
> [1] "Component 11: Component 2: Mean relative difference: 4.9945e-08"
5132c5135
< [4] "Component 4: Mean relative difference: 0.024772"
---
> [4] "Component 4: Mean relative difference: 0.024595"
5148c5151
< [2] "Component 11: Component 2: Mean relative difference: 1.9421e-08"
---
> [2] "Component 11: Component 2: Mean relative difference: 5.8452e-08"
5158c5161
< [4] "Component 4: Mean relative difference: 0.024772"
---
> [4] "Component 4: Mean relative difference: 0.024595"
5210c5213
< sigma 3.6112
---
> sigma 3.6106
5214c5217
< sigma -15.234 -93.735
---
> sigma -15.234 -93.706
5229,5230c5232,5233
< mu 0.030334 -0.00493
< sigma -0.004930 0.01147
---
> mu 0.0303350 -0.0049316
> sigma -0.0049316 0.0114734
5236d5238
< [3] "Component 4: Mean relative difference: 0.0010693"
5373c5375
< [4] "Component 4: Mean relative difference: 0.027743"
---
> [4] "Component 4: Mean relative difference: 0.027926"
5416c5418
< [4] "Component 4: Mean relative difference: 0.02715"
---
> [4] "Component 4: Mean relative difference: 0.027325"
5460c5462
< sigma 1.680 0.107 15.68 < 2e-16 ***
---
> sigma 1.680 0.107 15.69 < 2e-16 ***
5480c5482
< sigma 3.6056
---
> sigma 3.6098
5483,5484c5485,5486
< mu -35.442 -15.206
< sigma -15.206 -93.621
---
> mu -35.413 -15.206
> sigma -15.206 -93.678
5500,5501c5502,5503
< mu 0.0303286 -0.0049259
< sigma -0.0049259 0.0114814
---
> mu 0.0303533 -0.0049269
> sigma -0.0049269 0.0114746
5505c5507
< [1] "Component 4: Mean relative difference: 0.00088086"
---
> [1] "Component 4: Mean relative difference: 0.00071276"
5529c5531
< [1] "Component 4: Mean relative difference: 0.00080192"
---
> [1] "Component 4: Mean relative difference: 0.0003034"
5644c5646
< BFGS maximisation, 32 iterations
---
> BFGS maximisation, 30 iterations
5665,5666c5667,5668
< [4] "Component 4: Mean relative difference: 0.027441"
< [5] "Component 9: Mean relative difference: 0.030303"
---
> [4] "Component 4: Mean relative difference: 0.027257"
> [5] "Component 9: Mean relative difference: 0.090909"
5674c5676
< [1] "Component 9: Mean relative difference: 0.0625"
---
> [1] TRUE
5851c5853
< [3] "Component 4: Mean relative difference: 0.00044043"
---
> [3] "Component 4: Mean relative difference: 0.00089111"
6122c6124
< sigma 1.684 0.108 15.64 <2e-16 ***
---
> sigma 1.684 0.108 15.63 <2e-16 ***
6142c6144
< sigma 3.6135
---
> sigma 3.6159
6145,6146c6147,6148
< mu -35.300 -15.291
< sigma -15.291 -92.825
---
> mu -35.271 -15.291
> sigma -15.291 -92.797
6162,6163c6164,6165
< mu 0.0305055 -0.0050251
< sigma -0.0050251 0.0116007
---
> mu 0.0305327 -0.0050311
> sigma -0.0050311 0.0116052
6170c6172
< [4] "Component 4: Mean relative difference: 0.0069842"
---
> [4] "Component 4: Mean relative difference: 0.0075242"
6177c6179
< [1] "Component 4: Mean relative difference: 0.00060302"
---
> [1] "Component 4: Mean relative difference: 0.00024494"
6183c6185
< In (function (fn, grad = NULL, hess = NULL, start, maxRoutine, constraints, :
---
> In function (fn, grad = NULL, hess = NULL, start, maxRoutine, constraints, :
6209c6211
< [4] "Component 4: Mean relative difference: 0.76404"
---
> [4] "Component 4: Mean relative difference: 0.76341"
6218,6224c6220
<
< Attaching package: 'zoo'
<
< The following object is masked from 'package:base':
<
< as.Date, as.Date.numeric
<
---
> Warning: locked binding of 'as.Date.numeric' will not be changed
6453c6449
< mu 3.2975 0.0000
---
> mu 3.3006 0.0000
6457,6458c6453,6454
< mu 3.2996e+00 3.0124e-11
< sigma 3.0124e-11 1.6498e+00
---
> mu 3.2996e+00 -7.7766e-11
> sigma -7.7766e-11 1.6498e+00
6469,6470c6465,6466
< mu 3.3036984 0.0015489
< sigma 0.0015489 1.6495259
---
> mu 3.3037 0.0000
> sigma 0.0000 1.6488
6485,6486c6481,6482
< mu 3.3037027 0.0031021
< sigma 0.0031021 1.6518514
---
> mu 3.2975059 0.0015459
> sigma 0.0015459 1.6495259
6533,6534c6529,6530
< mu 3.03533 -0.49269
< sigma -0.49269 1.14746
---
> mu 3.03795 -0.49311
> sigma -0.49311 1.14753
6545,6546c6541,6542
< mu 3.03782 -0.49279
< sigma -0.49279 1.14678
---
> mu 3.03364 -0.49348
> sigma -0.49348 1.14809
6553,6554c6549,6550
< mu 3.0334 -0.493
< sigma -0.4930 1.147
---
> mu 3.03350 -0.49316
> sigma -0.49316 1.14734
6561,6562c6557,6558
< mu 3.03547 -0.49301
< sigma -0.49301 1.14821
---
> mu 3.03540 -0.49285
> sigma -0.49285 1.14783
6587,6589c6583,6585
< mu 0.03295408 0.00099779
< sigma 0.00099779 0.01517864
< [1] "Mean relative difference: 0.066647"
---
> mu 0.03301594 0.00099872
> sigma 0.00099872 0.01517864
> [1] "Mean relative difference: 0.06638"
6607,6609c6603,6605
< mu 0.033080 0.001029
< sigma 0.001029 0.015165
< [1] "Mean relative difference: 0.067585"
---
> mu 0.03307792 0.00099874
> sigma 0.00099874 0.01515017
> [1] "Mean relative difference: 0.067213"
6627,6629c6623,6625
< mu 0.0330790 0.0010425
< sigma 0.0010425 0.0152061
< [1] "Mean relative difference: 0.067052"
---
> mu 0.0329532 0.0010094
> sigma 0.0010094 0.0151624
> [1] "Mean relative difference: 0.066672"
6687,6689c6683,6685
< mu 0.0354661 -0.0038744
< sigma -0.0038744 0.0117841
< [1] "Mean relative difference: 0.13686"
---
> mu 0.0355274 -0.0038827
> sigma -0.0038827 0.0117852
> [1] "Mean relative difference: 0.13716"
6702,6704c6698,6700
< mu 0.0355259 -0.0038774
< sigma -0.0038774 0.0117700
< [1] "Mean relative difference: 0.13716"
---
> mu 0.0354234 -0.0038924
> sigma -0.0038924 0.0117967
> [1] "Mean relative difference: 0.13613"
6712,6713c6708,6709
< mu 0.0354336 -0.0038875
< sigma -0.0038875 0.0117802
---
> mu 0.0354347 -0.0038904
> sigma -0.0038904 0.0117879
6722,6724c6718,6720
< mu 0.0354690 -0.0038808
< sigma -0.0038808 0.0117997
< [1] "Mean relative difference: 0.13684"
---
> mu 0.0354679 -0.0038779
> sigma -0.0038779 0.0117920
> [1] "Mean relative difference: 0.13685"
Running ‘methods.R’ [0s/0s]
Comparing ‘methods.Rout’ to ‘methods.Rout.save’ ... OK
Running ‘numericGradient.R’ [0s/0s]
Comparing ‘numericGradient.Rout’ to ‘numericGradient.Rout.save’ ... OK
- checking PDF version of manual ... OK
NOTE: There was 1 note.
See
‘/home/hornik/tmp/R.check/r-release/Work/PKGS/maxLik.Rcheck/00check.log’
for details.