![[Stable]](figures/lifecycle-stable.svg)
Parses the cycle information from an NPAG or an IT2B object.
Value
The output of makeCycle is a list of class PMcycle,
which has 8 objects from NPAG or 6 objects from IT2B :
- names
Vector of names of the random parameters
#'
- names
Vector of names of the random parameters
- cycnum
Vector cycle numbers, which may start at numbers greater than 1 if a non-uniform prior was specified for the run (NPAG only)
- ll
Matrix of cycle number and -2*Log-likelihood at each cycle
- gamlam
A matrix of cycle number and gamma or lambda at each cycle
- mean
A matrix of cycle number and the mean of each random parameter at each cycle, normalized to initial mean
- sd
A matrix of cycle number and the standard deviation of each random parameter at each cycle, normalized to initial standard deviation
- median
A matrix of cycle number and the median of each random parameter at each cycle, normalized to initial median
- aic
A matrix of cycle number and Akaike Information Criterion at each cycle
- bic
A matrix of cycle number and Bayesian (Schwartz) Information Criterion at each cycle
A plot method exists in plot for PMcycle objects.
Details
This function will parse the output of NPparse or ITparse to generate a
list suitable for analysis and plotting of NPAG or IT2B cycle information.
Examples
cycle <- makeCycle(NPex$NPdata)
cycle
#> $names
#> [1] "Ka" "Ke" "V" "Tlag1"
#>
#> $cycnum
#> [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
#> [19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
#> [37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
#> [55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
#> [73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
#> [91] 91 92 93 94 95 96 97 98 99 100
#>
#> $ll
#> [1] 507.3346 481.2885 460.5295 456.6656 456.4747 456.4747 454.6416 453.0673
#> [9] 452.7149 452.6453 452.6453 448.5969 448.4804 448.3917 448.3405 448.3009
#> [17] 448.2713 448.2713 446.7067 445.8884 445.5819 445.5588 445.5471 445.5426
#> [25] 445.5426 444.4183 443.9666 443.4177 443.0373 442.8305 442.7360 442.7092
#> [33] 442.6847 442.6652 442.5090 442.2605 442.1442 442.1415 442.1399 442.1396
#> [41] 442.1369 442.1322 442.1288 442.1267 442.1259 442.1214 442.1164 442.1128
#> [49] 442.1106 442.1077 442.1014 442.0966 442.0932 442.0902 442.0829 442.0771
#> [57] 442.0728 442.0681 442.0600 442.0535 442.0486 442.0447 442.0353 442.0278
#> [65] 442.0218 442.0172 442.0141 442.0124 442.0120 442.0120 441.6645 441.4615
#> [73] 441.3766 441.3248 441.2395 441.1680 441.1068 441.0444 440.9916 440.8840
#> [81] 440.7468 440.6802 440.5175 440.4220 440.4022 440.3955 440.3622 440.3499
#> [89] 440.3384 440.3066 440.2895 440.2692 440.2470 440.2440 440.2243 440.2052
#> [97] 440.2048 440.1825 440.1657 440.1657
#>
#> $gamlam
#> [,1]
#> [1,] 4.545455
#> [2,] 3.787879
#> [3,] 2.705628
#> [4,] 2.705628
#> [5,] 2.705628
#> [6,] 2.705628
#> [7,] 2.705628
#> [8,] 2.576788
#> [9,] 2.576788
#> [10,] 2.576788
#> [11,] 2.576788
#> [12,] 2.544976
#> [13,] 2.544976
#> [14,] 2.513557
#> [15,] 2.513557
#> [16,] 2.513557
#> [17,] 2.513557
#> [18,] 2.513557
#> [19,] 2.488670
#> [20,] 2.488670
#> [21,] 2.464030
#> [22,] 2.464030
#> [23,] 2.464030
#> [24,] 2.464030
#> [25,] 2.464030
#> [26,] 2.464030
#> [27,] 2.464030
#> [28,] 2.439633
#> [29,] 2.439633
#> [30,] 2.439633
#> [31,] 2.439633
#> [32,] 2.439633
#> [33,] 2.439633
#> [34,] 2.439633
#> [35,] 2.439633
#> [36,] 2.439633
#> [37,] 2.439633
#> [38,] 2.439633
#> [39,] 2.439633
#> [40,] 2.439633
#> [41,] 2.439633
#> [42,] 2.439633
#> [43,] 2.439633
#> [44,] 2.439633
#> [45,] 2.439633
#> [46,] 2.439633
#> [47,] 2.439633
#> [48,] 2.439633
#> [49,] 2.439633
#> [50,] 2.439633
#> [51,] 2.439633
#> [52,] 2.439633
#> [53,] 2.439633
#> [54,] 2.439633
#> [55,] 2.439633
#> [56,] 2.439633
#> [57,] 2.439633
#> [58,] 2.439633
#> [59,] 2.439633
#> [60,] 2.439633
#> [61,] 2.439633
#> [62,] 2.439633
#> [63,] 2.439633
#> [64,] 2.439633
#> [65,] 2.439633
#> [66,] 2.439633
#> [67,] 2.439633
#> [68,] 2.439633
#> [69,] 2.439633
#> [70,] 2.439633
#> [71,] 2.439633
#> [72,] 2.439633
#> [73,] 2.415478
#> [74,] 2.415478
#> [75,] 2.415478
#> [76,] 2.415478
#> [77,] 2.415478
#> [78,] 2.415478
#> [79,] 2.415478
#> [80,] 2.415478
#> [81,] 2.415478
#> [82,] 2.415478
#> [83,] 2.415478
#> [84,] 2.415478
#> [85,] 2.415478
#> [86,] 2.415478
#> [87,] 2.415478
#> [88,] 2.415478
#> [89,] 2.415478
#> [90,] 2.415478
#> [91,] 2.415478
#> [92,] 2.415478
#> [93,] 2.415478
#> [94,] 2.415478
#> [95,] 2.415478
#> [96,] 2.415478
#> [97,] 2.415478
#> [98,] 2.415478
#> [99,] 2.415478
#> [100,] 2.415478
#>
#> $mean
#> par
#> cycle Ka Ke V Tlag1
#> 1 1.0000000 1.0000000 1.0000000 1.0000000
#> 2 1.0149965 1.0036643 0.9925630 0.9965626
#> 3 1.0313964 1.0060456 0.9889442 0.9966983
#> 4 1.0195397 1.0061282 0.9953752 0.9840417
#> 5 0.9937913 1.0060956 0.9946988 0.9833331
#> 6 0.9937913 1.0060956 0.9946988 0.9833331
#> 7 1.0052473 1.0058939 1.0057208 0.9541829
#> 8 1.0047262 1.0055674 1.0043512 0.9489062
#> 9 1.0105375 1.0053677 1.0025242 0.9499842
#> 10 1.0171156 1.0052275 1.0026923 0.9500520
#> 11 1.0171156 1.0052275 1.0026923 0.9500520
#> 12 1.0214872 1.0010543 1.0001642 0.9398529
#> 13 1.0267543 1.0010428 1.0003115 0.9323448
#> 14 1.0333324 1.0010524 1.0003388 0.9414585
#> 15 1.0367525 1.0010524 1.0003427 0.9414962
#> 16 1.0401793 1.0010505 1.0003479 0.9415339
#> 17 1.0469074 1.0010447 1.0003662 0.9417072
#> 18 1.0469074 1.0010447 1.0003662 0.9417072
#> 19 1.0431723 0.9991454 0.9988233 0.9348173
#> 20 1.0507745 0.9927848 1.0026493 0.9336942
#> 21 1.0510152 0.9915787 1.0039029 0.9343500
#> 22 1.0508685 0.9915999 1.0039120 0.9343726
#> 23 1.0523213 0.9916172 1.0039211 0.9344027
#> 24 1.0537675 0.9916325 1.0039303 0.9344329
#> 25 1.0537675 0.9916325 1.0039303 0.9344329
#> 26 1.0528177 0.9953601 1.0038000 0.9304075
#> 27 1.0520706 0.9939121 1.0027926 0.9371316
#> 28 1.0509658 0.9940830 1.0039420 0.9364908
#> 29 1.0522586 0.9940600 1.0052139 0.9362647
#> 30 1.0524549 0.9928021 1.0059319 0.9344857
#> 31 1.0525588 0.9928194 1.0066577 0.9343801
#> 32 1.0531409 0.9927886 1.0067164 0.9325634
#> 33 1.0539984 0.9927963 1.0067073 0.9308146
#> 34 1.0532794 0.9928021 1.0072924 0.9308749
#> 35 1.0519222 0.9915269 1.0078944 0.9311312
#> 36 1.0513896 0.9915845 1.0083205 0.9309050
#> 37 1.0515396 0.9916114 1.0088535 0.9308523
#> 38 1.0507168 0.9916114 1.0088522 0.9308221
#> 39 1.0498939 0.9916133 1.0088509 0.9307995
#> 40 1.0490710 0.9916152 1.0088496 0.9307693
#> 41 1.0490644 0.9916095 1.0088639 0.9290054
#> 42 1.0482415 0.9916095 1.0088613 0.9289828
#> 43 1.0474203 0.9916114 1.0088600 0.9289602
#> 44 1.0465991 0.9916133 1.0088574 0.9289300
#> 45 1.0457778 0.9916133 1.0088548 0.9288999
#> 46 1.0457630 0.9916095 1.0088692 0.9271284
#> 47 1.0449434 0.9916095 1.0088666 0.9270983
#> 48 1.0441238 0.9916114 1.0088639 0.9270756
#> 49 1.0433059 0.9916133 1.0088613 0.9270530
#> 50 1.0432845 0.9916075 1.0088757 0.9252589
#> 51 1.0424665 0.9916095 1.0088731 0.9252363
#> 52 1.0416486 0.9916114 1.0088692 0.9252062
#> 53 1.0408323 0.9916133 1.0088653 0.9251836
#> 54 1.0408059 0.9916075 1.0088796 0.9233744
#> 55 1.0399896 0.9916095 1.0088757 0.9233518
#> 56 1.0391750 0.9916114 1.0088718 0.9233367
#> 57 1.0383620 0.9916114 1.0088679 0.9233065
#> 58 1.0383307 0.9916075 1.0088822 0.9214898
#> 59 1.0375177 0.9916095 1.0088770 0.9214672
#> 60 1.0367064 0.9916114 1.0088718 0.9214522
#> 61 1.0358950 0.9916133 1.0088679 0.9214295
#> 62 1.0358637 0.9916075 1.0088809 0.9195978
#> 63 1.0360715 0.9916210 1.0094712 0.9196807
#> 64 1.0352684 0.9916248 1.0094699 0.9196656
#> 65 1.0344670 0.9916268 1.0094673 0.9196430
#> 66 1.0336655 0.9916287 1.0094660 0.9196204
#> 67 1.0328657 0.9916306 1.0094634 0.9195978
#> 68 1.0320659 0.9916325 1.0094621 0.9195827
#> 69 1.0312661 0.9916344 1.0094608 0.9195601
#> 70 1.0312661 0.9916344 1.0094608 0.9195601
#> 71 1.0312299 0.9904361 1.0096875 0.9180977
#> 72 1.0310402 0.9904188 1.0103586 0.9164167
#> 73 1.0317031 0.9898426 1.0106023 0.9163036
#> 74 1.0325392 0.9898484 1.0105997 0.9144341
#> 75 1.0329943 0.9898522 1.0105841 0.9125420
#> 76 1.0339112 0.9898292 1.0106075 0.9134315
#> 77 1.0346335 0.9904015 1.0109894 0.9106424
#> 78 1.0350623 0.9898234 1.0106167 0.9087654
#> 79 1.0340448 0.9891686 1.0112513 0.9076874
#> 80 1.0338980 0.9897850 1.0118664 0.9058104
#> 81 1.0336869 0.9892204 1.0116579 0.9058330
#> 82 1.0338304 0.9897869 1.0116970 0.9057275
#> 83 1.0342212 0.9904284 1.0113295 0.9067075
#> 84 1.0345939 0.9898350 1.0106062 0.9067225
#> 85 1.0349979 0.9898330 1.0109724 0.9048380
#> 86 1.0354102 0.9892415 1.0109711 0.9029535
#> 87 1.0358505 0.9892473 1.0113243 0.9011066
#> 88 1.0359016 0.9892531 1.0116696 0.8992598
#> 89 1.0359577 0.9886692 1.0116149 0.8975109
#> 90 1.0359000 0.9886615 1.0113569 0.8972471
#> 91 1.0359379 0.9886673 1.0116488 0.8955359
#> 92 1.0359956 0.9880835 1.0116266 0.8937041
#> 93 1.0359923 0.9880835 1.0119902 0.8936966
#> 94 1.0359923 0.9880835 1.0123551 0.8936966
#> 95 1.0359890 0.9874920 1.0123551 0.8936966
#> 96 1.0359874 0.9874920 1.0127199 0.8936966
#> 97 1.0359874 0.9874920 1.0130848 0.8936966
#> 98 1.0359841 0.9869024 1.0130848 0.8936966
#> 99 1.0359824 0.9869024 1.0134497 0.8936966
#> 100 1.0359824 0.9869024 1.0134497 0.8936966
#>
#> $sd
#> par
#> cycle Ka Ke V Tlag1
#> 1 1.000000 1.0000000 1.0000000 1.000000
#> 2 1.032320 1.0049040 0.9819494 1.002131
#> 3 1.066454 1.0098532 0.9714715 1.005992
#> 4 1.044000 1.0101540 0.9731300 1.181892
#> 5 1.032260 1.0101791 0.9729111 1.181677
#> 6 1.032260 1.0101791 0.9729111 1.181677
#> 7 1.028150 1.0113274 1.0083445 1.098919
#> 8 1.028072 1.0118940 1.0069568 1.136862
#> 9 1.051739 1.0120043 0.9996920 1.137023
#> 10 1.058213 1.0120093 0.9997440 1.136908
#> 11 1.058213 1.0120093 0.9997440 1.136908
#> 12 1.080215 0.9968711 1.0140064 1.128016
#> 13 1.085064 0.9968761 1.0145073 1.103048
#> 14 1.095502 0.9969162 1.0143589 1.127994
#> 15 1.101306 0.9969212 1.0143589 1.127982
#> 16 1.108391 0.9969262 1.0143551 1.127971
#> 17 1.111452 0.9969463 1.0143440 1.127924
#> 18 1.111452 0.9969463 1.0143440 1.127924
#> 19 1.102235 0.9993832 1.0111235 1.095480
#> 20 1.092846 0.9748982 1.0227887 1.087701
#> 21 1.087369 0.9701847 1.0278792 1.085413
#> 22 1.091994 0.9701597 1.0279274 1.085307
#> 23 1.093619 0.9701396 1.0279720 1.085214
#> 24 1.095532 0.9701195 1.0280091 1.085136
#> 25 1.095532 0.9701195 1.0280091 1.085136
#> 26 1.105450 0.9839290 1.0270110 1.078459
#> 27 1.103627 0.9870229 1.0286064 1.093806
#> 28 1.106693 0.9900265 1.0308957 1.092766
#> 29 1.107630 0.9900816 1.0349881 1.093092
#> 30 1.108245 0.9873588 1.0379898 1.092734
#> 31 1.109908 0.9873939 1.0376484 1.092713
#> 32 1.111456 0.9873187 1.0375965 1.091760
#> 33 1.113657 0.9873488 1.0375965 1.091305
#> 34 1.113691 0.9873739 1.0381641 1.091273
#> 35 1.113210 0.9906483 1.0382829 1.091108
#> 36 1.113541 0.9905379 1.0389285 1.091069
#> 37 1.113679 0.9904728 1.0396408 1.091058
#> 38 1.113524 0.9904677 1.0396408 1.091040
#> 39 1.113446 0.9904677 1.0396408 1.091020
#> 40 1.113446 0.9904627 1.0396446 1.091000
#> 41 1.113459 0.9904778 1.0396446 1.090749
#> 42 1.113541 0.9904728 1.0396446 1.090732
#> 43 1.113700 0.9904728 1.0396446 1.090714
#> 44 1.113937 0.9904677 1.0396446 1.090696
#> 45 1.114250 0.9904627 1.0396446 1.090676
#> 46 1.114268 0.9904778 1.0396446 1.090662
#> 47 1.114663 0.9904728 1.0396446 1.090646
#> 48 1.115136 0.9904728 1.0396446 1.090628
#> 49 1.115686 0.9904677 1.0396446 1.090609
#> 50 1.115699 0.9904828 1.0396446 1.090835
#> 51 1.116331 0.9904778 1.0396446 1.090819
#> 52 1.117040 0.9904728 1.0396446 1.090802
#> 53 1.117823 0.9904677 1.0396446 1.090784
#> 54 1.117836 0.9904828 1.0396446 1.091250
#> 55 1.118704 0.9904778 1.0396446 1.091234
#> 56 1.119641 0.9904728 1.0396446 1.091217
#> 57 1.120660 0.9904677 1.0396446 1.091199
#> 58 1.120677 0.9904828 1.0396483 1.091910
#> 59 1.121774 0.9904778 1.0396446 1.091893
#> 60 1.122943 0.9904728 1.0396446 1.091876
#> 61 1.124190 0.9904677 1.0396446 1.091857
#> 62 1.124211 0.9904778 1.0396483 1.092814
#> 63 1.124233 0.9904427 1.0404423 1.092789
#> 64 1.125548 0.9904377 1.0404423 1.092780
#> 65 1.126932 0.9904326 1.0404423 1.092770
#> 66 1.128394 0.9904276 1.0404423 1.092760
#> 67 1.129929 0.9904226 1.0404423 1.092748
#> 68 1.131537 0.9904176 1.0404423 1.092737
#> 69 1.133218 0.9904126 1.0404423 1.092723
#> 70 1.133218 0.9904126 1.0404423 1.092723
#> 71 1.136283 0.9941081 1.0415479 1.095697
#> 72 1.136463 0.9940630 1.0450579 1.091699
#> 73 1.135389 0.9923481 1.0455068 1.083929
#> 74 1.134868 0.9923581 1.0469167 1.078022
#> 75 1.133948 0.9922829 1.0469093 1.072208
#> 76 1.135642 0.9923331 1.0484602 1.069843
#> 77 1.134378 0.9939026 1.0494360 1.063712
#> 78 1.133420 0.9923030 1.0499147 1.058052
#> 79 1.133630 0.9941132 1.0510537 1.052377
#> 80 1.133807 0.9957228 1.0525564 1.046945
#> 81 1.134017 0.9941332 1.0535916 1.046939
#> 82 1.134013 0.9928746 1.0553874 1.043923
#> 83 1.133230 0.9914355 1.0568010 1.046730
#> 84 1.132495 0.9899312 1.0571646 1.046754
#> 85 1.131769 0.9899362 1.0582740 1.041453
#> 86 1.131064 0.9884670 1.0582740 1.036257
#> 87 1.130393 0.9884570 1.0593908 1.031200
#> 88 1.130419 0.9884419 1.0605261 1.026247
#> 89 1.130449 0.9869978 1.0605373 1.021628
#> 90 1.130440 0.9870179 1.0620622 1.020998
#> 91 1.130458 0.9870028 1.0632717 1.016612
#> 92 1.130492 0.9856038 1.0632606 1.011972
#> 93 1.130496 0.9856038 1.0644590 1.011975
#> 94 1.130496 0.9856038 1.0656797 1.011975
#> 95 1.130501 0.9842650 1.0656760 1.011978
#> 96 1.130505 0.9842650 1.0669153 1.011980
#> 97 1.130501 0.9842650 1.0681693 1.011980
#> 98 1.130509 0.9829713 1.0681656 1.011983
#> 99 1.130509 0.9829713 1.0694383 1.011984
#> 100 1.130509 0.9829713 1.0694383 1.011984
#>
#> $median
#> par
#> cycle Ka Ke V Tlag1
#> 1 1.000000 1.0000000 1.0000000 1.0000000
#> 2 1.038949 1.0007399 1.0001711 1.0373792
#> 3 1.056356 1.0011429 1.0006366 1.0451696
#> 4 1.041015 1.0011414 1.0029613 0.8019811
#> 5 1.041121 1.0011414 1.0026957 0.8009597
#> 6 1.041121 1.0011414 1.0026957 0.8009597
#> 7 1.059780 1.0012739 1.0028076 0.8008284
#> 8 1.059452 1.0011317 1.0029763 0.8223454
#> 9 1.059406 1.0010848 1.0030481 0.8245007
#> 10 1.071045 1.0010414 1.0030829 0.8245001
#> 11 1.071045 1.0010414 1.0030829 0.8245001
#> 12 1.070467 1.0010935 1.0010607 0.8237037
#> 13 1.095161 1.0010905 1.0010695 0.8237280
#> 14 1.095201 1.0010908 1.0011125 0.8237467
#> 15 1.095216 1.0010908 1.0011180 0.8237754
#> 16 1.095232 1.0010908 1.0011235 0.8238043
#> 17 1.095300 1.0010908 1.0011468 0.8239262
#> 18 1.095300 1.0010908 1.0011468 0.8239262
#> 19 1.095385 0.9983918 1.0011909 1.0311191
#> 20 1.089188 0.9977229 1.0011961 1.0318178
#> 21 1.083216 0.9975292 1.0011691 1.0317251
#> 22 1.120238 0.9975762 1.0011677 1.0317215
#> 23 1.058279 0.9976165 1.0011676 1.0317215
#> 24 1.058238 0.9976512 1.0011676 1.0317215
#> 25 1.058238 0.9976512 1.0011676 1.0317215
#> 26 1.057940 0.9975933 1.0010401 1.0316305
#> 27 1.057229 0.9976430 1.0013704 1.0321766
#> 28 1.057269 0.9977312 1.0011796 1.0318285
#> 29 1.057652 0.9976696 1.0010877 1.0315678
#> 30 1.057773 0.9976087 1.0010960 1.0027777
#> 31 1.045462 0.9976088 1.0010949 1.0025997
#> 32 1.033242 0.9976088 1.0010940 1.0022664
#> 33 1.033244 0.9976088 1.0011047 0.9735329
#> 34 1.033288 0.9976088 1.0010383 0.9733523
#> 35 1.032997 0.9976088 1.0014041 0.9745905
#> 36 1.033156 0.9976088 1.0012218 0.9738684
#> 37 1.033235 0.9976088 1.0011118 0.9735174
#> 38 1.032927 0.9976088 1.0011101 0.9734962
#> 39 1.032932 0.9976088 1.0011085 0.9734745
#> 40 1.032936 0.9976088 1.0011069 0.9734524
#> 41 1.032911 0.9976088 1.0011183 0.9146421
#> 42 1.032917 0.9976088 1.0011163 0.9146200
#> 43 1.032922 0.9976088 1.0011143 0.9145974
#> 44 1.032928 0.9976088 1.0011124 0.9145743
#> 45 1.032933 0.9976088 1.0011105 0.9145507
#> 46 1.032909 0.9976088 1.0011214 0.8851918
#> 47 1.032915 0.9976088 1.0011191 0.8851681
#> 48 1.032921 0.9976088 1.0011168 0.8851440
#> 49 1.032927 0.9976088 1.0011146 0.8851193
#> 50 1.032903 0.9976088 1.0011252 0.8557531
#> 51 1.032910 0.9976088 1.0011226 0.8557284
#> 52 1.032917 0.9976088 1.0011200 0.8557031
#> 53 1.032924 0.9976088 1.0011174 0.8556773
#> 54 1.032900 0.9976088 1.0011276 0.8263046
#> 55 1.032908 0.9976088 1.0011246 0.8262787
#> 56 1.032915 0.9976088 1.0011218 0.8262522
#> 57 1.032923 0.9976088 1.0011189 0.8262252
#> 58 1.032901 0.9976088 1.0011284 0.7962166
#> 59 1.032909 0.9976088 1.0011252 0.7962075
#> 60 1.032917 0.9976088 1.0011220 0.7961978
#> 61 1.032925 0.9976088 1.0011189 0.7961876
#> 62 1.032905 0.9976088 1.0011277 0.7962155
#> 63 1.032998 0.9976088 1.0010564 0.7962303
#> 64 1.033007 0.9976088 1.0010549 0.7962230
#> 65 1.033016 0.9976088 1.0010533 0.7962153
#> 66 1.033025 0.9976088 1.0010518 0.7962073
#> 67 1.033034 0.9976088 1.0010503 0.7961990
#> 68 1.033042 0.9976088 1.0010488 0.7961904
#> 69 1.033050 0.9976088 1.0010473 0.7961816
#> 70 1.033050 0.9976088 1.0010473 0.7961816
#> 71 1.020805 0.9976186 0.9891048 0.7962937
#> 72 1.020872 0.9975908 0.9890490 0.7962379
#> 73 1.020927 0.9975859 0.9889958 0.8256311
#> 74 1.020923 0.9975922 0.9889964 0.8256339
#> 75 1.020929 0.9975986 0.9889971 0.8256358
#> 76 1.020963 0.9975640 0.9889983 0.8256386
#> 77 1.020930 0.9975722 0.9889988 0.8256454
#> 78 1.020930 0.9975805 0.9889993 0.8256479
#> 79 1.020812 0.9975805 0.9891373 0.8256234
#> 80 1.020869 0.9975805 0.9890815 0.8256238
#> 81 1.020912 0.9975805 0.9890392 0.8256284
#> 82 1.020942 0.9975805 0.9890028 0.8550647
#> 83 1.020939 0.9975805 0.9788675 0.8550346
#> 84 1.020931 0.9975805 0.9788722 0.8550464
#> 85 1.020929 0.9975805 0.9788727 0.8550483
#> 86 1.020928 0.9975805 0.9788727 0.8550561
#> 87 1.020933 0.9975805 0.9788703 0.8550893
#> 88 1.020942 0.9975805 0.9788661 0.8551291
#> 89 1.020952 0.9975805 0.9787411 0.8551763
#> 90 1.020941 0.9975805 0.9727789 0.8551529
#> 91 1.020947 0.9975805 0.9712060 0.8551850
#> 92 1.020958 0.9975805 0.9711862 0.8552348
#> 93 1.020957 0.9975805 0.9711862 0.8552348
#> 94 1.020957 0.9975805 0.9711862 0.8552348
#> 95 1.020957 0.9975805 0.9711862 0.8552348
#> 96 1.020957 0.9975805 0.9711862 0.8552348
#> 97 1.020957 0.9975805 0.9711862 0.8552348
#> 98 1.020957 0.9975805 0.9711862 0.8552348
#> 99 1.020956 0.9975805 0.9711862 0.8552348
#> 100 1.020956 0.9975805 0.9711862 0.8552348
#>
#> $aic
#> 1 2 3 4 5 6 7 8
#> 517.7858 491.7396 470.9806 467.1167 466.9258 466.9258 465.0927 463.5185
#> 9 10 11 12 13 14 15 16
#> 463.1660 463.0964 463.0964 459.0480 458.9315 458.8429 458.7916 458.7521
#> 17 18 19 20 21 22 23 24
#> 458.7225 458.7225 457.1578 456.3396 456.0331 456.0099 455.9982 455.9937
#> 25 26 27 28 29 30 31 32
#> 455.9937 454.8695 454.4178 453.8688 453.4884 453.2816 453.1872 453.1603
#> 33 34 35 36 37 38 39 40
#> 453.1359 453.1163 452.9602 452.7117 452.5954 452.5926 452.5911 452.5907
#> 41 42 43 44 45 46 47 48
#> 452.5880 452.5833 452.5799 452.5778 452.5770 452.5725 452.5675 452.5639
#> 49 50 51 52 53 54 55 56
#> 452.5617 452.5588 452.5525 452.5477 452.5443 452.5413 452.5340 452.5282
#> 57 58 59 60 61 62 63 64
#> 452.5239 452.5192 452.5112 452.5047 452.4998 452.4958 452.4864 452.4789
#> 65 66 67 68 69 70 71 72
#> 452.4729 452.4684 452.4652 452.4635 452.4631 452.4631 452.1157 451.9126
#> 73 74 75 76 77 78 79 80
#> 451.8277 451.7759 451.6906 451.6191 451.5580 451.4955 451.4427 451.3352
#> 81 82 83 84 85 86 87 88
#> 451.1979 451.1314 450.9686 450.8731 450.8533 450.8467 450.8133 450.8010
#> 89 90 91 92 93 94 95 96
#> 450.7896 450.7577 450.7407 450.7203 450.6981 450.6951 450.6755 450.6563
#> 97 98 99 100
#> 450.6560 450.6336 450.6168 450.6168
#>
#> $bic
#> 1 2 3 4 5 6 7 8
#> 532.0070 505.9609 485.2018 481.3380 481.1471 481.1471 479.3139 477.7397
#> 9 10 11 12 13 14 15 16
#> 477.3873 477.3177 477.3177 473.2692 473.1527 473.0641 473.0129 472.9733
#> 17 18 19 20 21 22 23 24
#> 472.9437 472.9437 471.3791 470.5608 470.2543 470.2312 470.2194 470.2150
#> 25 26 27 28 29 30 31 32
#> 470.2150 469.0907 468.6390 468.0901 467.7097 467.5029 467.4084 467.3816
#> 33 34 35 36 37 38 39 40
#> 467.3571 467.3375 467.1814 466.9329 466.8166 466.8138 466.8123 466.8119
#> 41 42 43 44 45 46 47 48
#> 466.8092 466.8046 466.8012 466.7990 466.7982 466.7938 466.7888 466.7852
#> 49 50 51 52 53 54 55 56
#> 466.7829 466.7801 466.7738 466.7690 466.7656 466.7625 466.7552 466.7494
#> 57 58 59 60 61 62 63 64
#> 466.7452 466.7405 466.7324 466.7259 466.7210 466.7171 466.7077 466.7002
#> 65 66 67 68 69 70 71 72
#> 466.6941 466.6896 466.6865 466.6847 466.6844 466.6844 466.3369 466.1339
#> 73 74 75 76 77 78 79 80
#> 466.0489 465.9972 465.9119 465.8404 465.7792 465.7168 465.6639 465.5564
#> 81 82 83 84 85 86 87 88
#> 465.4192 465.3526 465.1899 465.0944 465.0746 465.0679 465.0345 465.0223
#> 89 90 91 92 93 94 95 96
#> 465.0108 464.9789 464.9619 464.9416 464.9193 464.9163 464.8967 464.8776
#> 97 98 99 100
#> 464.8772 464.8549 464.8381 464.8381
#>
#> attr(,"class")
#> [1] "PMcycle" "list"
names(cycle)
#> [1] "names" "cycnum" "ll" "gamlam" "mean" "sd" "median" "aic"
#> [9] "bic"