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Methods for generic functions applied to mod_cpt() objects

Usage

# S3 method for class 'mod_cpt'
as.ts(x, ...)

# S3 method for class 'mod_cpt'
nobs(object, ...)

# S3 method for class 'mod_cpt'
logLik(object, ...)

# S3 method for class 'mod_cpt'
fitted(object, ...)

# S3 method for class 'mod_cpt'
residuals(object, ...)

model_variance(object, ...)

# S3 method for class 'mod_cpt'
coef(object, ...)

# S3 method for class 'mod_cpt'
augment(x, ...)

# S3 method for class 'mod_cpt'
tidy(x, ...)

# S3 method for class 'mod_cpt'
glance(x, ...)

# S3 method for class 'mod_cpt'
plot(x, ...)

# S3 method for class 'mod_cpt'
print(x, ...)

Arguments

x

A mod_cpt object, typically the output from one of the fit_*() functions or as.model()

...

some methods for this generic function require additional arguments.

object

any object from which a log-likelihood value, or a contribution to a log-likelihood value, can be extracted.

Details

All changepoint detection models inherit from mod_cpt: the base class for changepoint detection models. These models are created by one of the fit_*() functions, or by as.model(). The methods documented here work on these objects.

Examples

cpts <- fit_meanshift_norm(DataCPSim, tau = 365)
as.ts(cpts)
#> Time Series:
#> Start = 1 
#> End = 1096 
#> Frequency = 1 
#>    [1]  35.50961  29.00292  35.63508  32.98452  29.53557  25.40781  28.82497
#>    [8]  50.31157  24.93185  58.88063  30.35777  33.66315  32.58653  42.78788
#>   [15]  45.23963  23.66417  20.00954  31.64746  34.65507  68.49028  43.53948
#>   [22]  25.29938  57.19244  39.51995  23.79025  27.81451  42.00712  36.09812
#>   [29]  32.74664  34.73679  60.20919  55.52211  33.92043  32.48948  22.66494
#>   [36]  24.16119  27.05582  16.09789  31.69439  27.22202  20.64027  33.97673
#>   [43]  46.71000  25.28389  24.88207  41.75347  36.50448  35.98297  31.39612
#>   [50]  44.14153  67.82557  26.81619  27.55292  30.77449  51.17371  51.34317
#>   [57]  23.10056  22.92962  29.39409  73.67531  23.46017  35.36286  29.45083
#>   [64]  54.18062  25.04895  27.47914  51.41767  32.30387  43.17916  30.11288
#>   [71]  22.45535  33.70278  34.16720  44.64931  22.60994  50.26498  50.28394
#>   [78]  33.24944  38.73890  36.75336  52.38881  36.62906  16.68155  35.12389
#>   [85]  35.89239  61.81050  47.85419  30.26446  36.93150  54.81053  30.32479
#>   [92]  37.46579  49.93442  46.01734  24.86685  35.88435  42.25720  37.78741
#>   [99]  46.26335  38.52976  47.99867  44.28395  51.05976  50.99393  36.01026
#>  [106]  37.44409  16.77029  31.05583  22.40344  27.22149  28.31583  58.06805
#>  [113]  38.30690  47.26490  31.55811  47.63268  23.38334  33.30157  46.75618
#>  [120]  30.46511  23.17060  31.52724  38.55479  35.54940  49.63486  38.85458
#>  [127]  35.80205  24.50227  20.49025  31.59546  33.84992  30.02572  23.84156
#>  [134]  27.92167  28.04857  55.54324  23.82133  46.27102  35.95369  47.65766
#>  [141]  31.37265  37.43892  26.73598  39.78209  37.23990  38.69749  25.74961
#>  [148]  15.00954  41.03282  35.55822  28.20253  34.25572  36.72560  25.87219
#>  [155]  34.25647  41.05718  45.99951  35.09617  30.10936  56.29692  21.62607
#>  [162]  32.16878  48.08144  27.56512  24.86829  23.20973  23.35380  24.87480
#>  [169]  41.98302  43.00026  42.37708  57.59545  28.58172  35.77870  28.82814
#>  [176]  35.31054  45.07452  19.92057  49.94871  42.05699  45.69919  40.55247
#>  [183]  28.77050  34.25098  39.57524  27.14581  44.69057  36.14965  49.50564
#>  [190]  49.79043  17.99559  39.65697  44.97010  18.31935  31.24522  31.07475
#>  [197]  21.61906  40.06484  34.99030  21.94425  37.44403  40.21178  38.23743
#>  [204]  31.80890  34.61897  47.81524  34.58307  30.49509  45.29616  49.07757
#>  [211]  24.17640  35.64875  17.63070  21.61867  32.29813  26.41488  28.31542
#>  [218]  25.02318  20.23520  28.13247  63.69313  42.52417  29.03129  54.03181
#>  [225]  25.60167  66.22389  26.02854  43.94607  39.26708  21.90635  33.10292
#>  [232]  31.36953  68.74632  49.57971  36.77692  62.23430  33.17239  34.70213
#>  [239]  29.33086  40.40664  20.51693  56.48982  47.57652  18.78920  39.83695
#>  [246]  23.57444  32.90584  23.97282  29.16350  33.94278  33.32760  40.39087
#>  [253]  37.08789  34.55488  28.07540  34.55889  32.50873  30.26050  31.61021
#>  [260]  29.22609  21.66017  39.99861  31.54268  54.66244  28.83481  50.43102
#>  [267]  41.57023  36.52691  41.74322  29.88869  65.63664  28.92781  31.62743
#>  [274]  60.02248  23.41874  30.41566  49.28914  30.75073  41.08489  35.95343
#>  [281]  26.30653  30.42233  35.58619  27.11696  41.07739  32.16801  54.22658
#>  [288]  30.58481  32.75808  40.14170  38.59850  34.62828  26.92407  32.65613
#>  [295]  21.12857  21.76199  31.72514  32.81883  39.57492  29.56246  26.52171
#>  [302]  33.16808  30.46846  26.71148  20.12177  28.85316  25.85809  73.07025
#>  [309]  50.11722  55.60337  42.62562  53.62811  40.37492  36.09093  54.15097
#>  [316]  52.48111  28.21508  44.33563  15.14660  31.77283  28.02836  42.85488
#>  [323]  30.07936  32.42728  33.91356  17.04858  29.01530  31.04799  24.28621
#>  [330]  35.50456  45.96182  21.99371  38.45540  25.78633  45.07985  27.04933
#>  [337]  50.03548  29.92024  26.27057  24.47919  59.13347  35.87683  42.14550
#>  [344]  29.36456  44.58931  30.97851  21.83860  46.47922  39.71751  20.74531
#>  [351]  21.96494  27.95186  40.64999  65.79466  34.95445  33.87721  27.41981
#>  [358]  19.67562  39.39982  45.69528  22.18879  37.54553  23.15847  28.45508
#>  [365]  25.23477  33.00227  27.16574  34.19212  38.82416  17.26278  38.40626
#>  [372]  57.01508  40.28032  27.15082  32.21021  41.59108  44.75365  31.57659
#>  [379]  44.49800  41.11233  35.23455  24.47634  45.13415  37.24519  42.85021
#>  [386]  32.84645  37.01077  38.96790  40.08106  43.99265  32.24746  27.24075
#>  [393]  31.66613  34.98403  27.29397  34.99001  31.25752  30.07230  27.18477
#>  [400]  37.36462  34.40921  27.16085  37.36703  47.98335  43.48091  23.31231
#>  [407]  20.68531  40.72063  13.66989  27.99689  25.61063  27.89089  17.93238
#>  [414]  23.25505  69.87353  20.53952  38.76444  45.53784  43.99368  25.86236
#>  [421]  23.02465  26.68788  51.99475  31.49945  39.98303  25.96329  18.68290
#>  [428]  45.39740  41.85522  40.88774  33.13019  36.51401  43.93668  28.72223
#>  [435]  17.36850  29.80030  29.36764  33.21636  30.98314  44.00905  49.96474
#>  [442]  32.63317  34.95938  42.09920  25.98961  26.13540  40.91752  27.13926
#>  [449]  23.93415  44.34438  24.80069  39.56627  34.17161  29.33848  51.51685
#>  [456]  38.10154  17.89906  29.84155  20.73680  17.94649  20.14526  30.60828
#>  [463]  37.05229  26.99159  48.47064  29.63704  30.29811  29.44919  50.20743
#>  [470]  25.22852  19.31610  49.49408  31.13921  45.04409  26.36500  21.37141
#>  [477]  33.60464  39.82629  23.44417  50.85233  35.55273  31.42400  52.78349
#>  [484]  46.42078  32.84158  41.58214  37.57874  92.79539  21.87917  35.86701
#>  [491]  44.63170  23.67373  49.57926  37.82632  28.51937  54.19448  25.42921
#>  [498]  31.42047  45.75800  26.14005  32.43037  30.31998  60.34780  35.38384
#>  [505]  17.65934  49.95322  48.97623  24.37608  62.05997  17.90258  35.04199
#>  [512]  25.02686  37.13100  27.42116  46.56513  14.44667  18.13457  30.41839
#>  [519]  40.06058  33.26711  58.99535  23.18483  36.67044  24.95331  27.19064
#>  [526]  26.76947  37.48431  37.13503  22.80870  32.98376  16.45626  25.22453
#>  [533]  35.59700  24.01433  58.24541  34.09432  31.09085  29.28524  20.65437
#>  [540]  24.52000  61.00638  33.59970  19.62836  30.89483  27.49646  47.74031
#>  [547]  38.48854  79.28284  49.83587  41.20827  60.84168  58.74430  73.74234
#>  [554]  62.99021  44.73661  66.14946  78.63431  58.85001  56.29965  49.76806
#>  [561]  66.31184  77.24626  30.20323  34.36305  40.14230 115.76308  53.35118
#>  [568]  56.61291  54.02821  30.86656  64.91494  51.47610  58.02405  46.19877
#>  [575]  75.46288  62.38693  62.12430  29.65914  48.83256  48.45711  87.84555
#>  [582]  48.89591  79.45862  45.43495  61.17216  44.15376  40.81283  28.66775
#>  [589] 100.81542  80.80345  59.82787  60.46746  61.44131  33.23726  52.19624
#>  [596]  83.51128  53.55938  63.91426  43.91224  55.36213  54.68760  56.36276
#>  [603]  50.26803  63.36135  71.84053  44.01963  54.90876  48.05082  73.33604
#>  [610]  40.86609  53.14413  59.74683  74.13609  72.72819  73.80368  46.35780
#>  [617]  39.46049  69.37131  69.23278  39.48316  65.63175  50.51306  79.59284
#>  [624]  43.27989  29.25963  53.94132  47.30325  89.88726  64.49022  53.12747
#>  [631]  51.61317  47.72412 102.46424  79.80996  51.62739  45.94677  44.20380
#>  [638]  62.47154  56.71323  45.20940  33.56516  93.76083  56.27748  43.03061
#>  [645]  86.12136  66.81985 103.73717  45.81972  66.39085  43.21773  56.16747
#>  [652]  59.28413  50.73493  65.26301 107.46498  68.39817  77.53655  63.00234
#>  [659] 100.37694  50.08347  51.31859  47.84582  73.28803  56.60291  49.47953
#>  [666]  74.14721  51.88331  72.97605  37.36928  50.55296  94.49818  85.63369
#>  [673]  47.21940  51.29463  30.87699  40.99069  65.22233  84.18339  36.97547
#>  [680]  67.67693 130.27515  56.50564  52.08214  36.62894  50.17403  43.98132
#>  [687]  63.78818  69.71901  58.66280  34.25625  40.01212  38.51369  31.93027
#>  [694]  70.08009  60.78508  51.19670  65.45439  70.13630  38.38639  46.42615
#>  [701]  59.55314  49.09690  60.75484  66.66783  70.41840  77.79466  57.57120
#>  [708]  66.27876  40.41878  51.19402  90.55426  28.21335  67.71025  52.72485
#>  [715]  37.34428  72.43783  92.29608  55.59297  69.66448  58.30077  50.26778
#>  [722]  74.61613  50.92561  51.97960  99.50324  47.12665  87.80435 119.15289
#>  [729]  96.67512  27.20912  42.35955  51.36019  66.15466  50.99965  31.33727
#>  [736]  29.62981  55.37496  72.04834  44.82771  46.57539  64.62869  38.82131
#>  [743]  53.86127  30.62108  27.37893  85.39840  55.85290  64.89730  94.68730
#>  [750]  35.15146  37.51919  45.72001  89.69830  46.13428  66.35095  37.41977
#>  [757]  43.10677  40.13555  43.13188  24.73451  76.52571  36.36566  71.17790
#>  [764]  56.44084  63.19831  38.86127  56.54947  83.05808  41.66112  60.14119
#>  [771]  73.36839  36.83335  46.99687  68.72470  48.02621  37.04922  67.67630
#>  [778]  46.78206  43.38829  79.76107  43.42811  34.89142  46.70848  85.92108
#>  [785]  65.54841  39.49996  41.09837  47.97916  62.31907  75.42977  83.27070
#>  [792]  73.13176  58.56810  75.03824  37.08341  57.11212  62.88590  80.01578
#>  [799]  31.43220  50.27634  20.52318  57.18749  65.93147  42.64495  60.78448
#>  [806]  42.12619  44.69412  58.64844  68.76875 163.36185  59.30573  44.16434
#>  [813]  74.02857  42.16594  47.80402  46.06946  68.13544  58.27459  44.44837
#>  [820]  49.71347  41.92370  65.10552 190.42879 100.55114  84.73240  95.19440
#>  [827]  62.62765  81.34105  62.84927 119.41128  97.69586 103.24047 132.04779
#>  [834]  63.94897  61.11686  68.83021  80.70128 118.36174  69.88491  75.67939
#>  [841]  97.87433  84.47204 167.57416 119.33953 112.87803  94.60966  54.52644
#>  [848] 134.89541  80.76840 100.86500 125.36064  80.85360  81.27602 102.14881
#>  [855]  62.87013  89.81105  90.54166  77.87923 154.26053 104.44530  89.99370
#>  [862] 137.11783 108.63313  81.65888  91.76187 153.53548  93.17887 131.28943
#>  [869]  58.95745  63.59264  86.73104 159.01308  56.48464  53.76414  79.36095
#>  [876] 104.17268  82.69108  75.47191  80.10494 123.34176 117.11018  82.67987
#>  [883]  87.24288  77.92377 105.19438  75.47461  73.26672 103.96131  88.69445
#>  [890]  67.40834 115.24510 107.64339  93.11673 129.87959 126.03289 118.21727
#>  [897] 101.24318  85.84310  83.24171  94.37437  95.52714  58.18705  70.93290
#>  [904] 135.64519 122.17646  47.94730  81.90610  71.29312  59.56557  90.96883
#>  [911] 105.27981  68.10784  62.24482 118.12494  89.29744 104.93346  54.31292
#>  [918] 118.22755  85.99992  68.28882 116.87775  59.89081  88.51994 124.96078
#>  [925]  48.99528  83.42296  39.21350 104.91602  96.76956 112.59752  71.12703
#>  [932]  88.73937  68.98548  70.70640  93.68761 131.72255  82.59086  81.56980
#>  [939]  80.12171 160.72231 130.68852  61.65840 175.64769 103.14938 133.32521
#>  [946] 160.15746  97.61800 119.62046 125.04584 120.67301 110.96952  62.16252
#>  [953] 215.10540  81.98616 110.52191  53.11782  83.00635  59.01162 167.43096
#>  [960] 146.43115 136.73301  93.53995  92.63548  98.56852  59.88143 101.45146
#>  [967] 102.84065 115.38549 110.87331  96.65850  70.26512  73.19904 204.44288
#>  [974] 120.52524 148.47584 176.52242  72.50633  98.01507  85.07589 122.09749
#>  [981] 173.47087 272.06243 114.84247 194.43547 182.95500  99.70758 155.32184
#>  [988] 234.90205 149.08372 129.43951  92.17400 150.30666 127.34289  95.56536
#>  [995] 183.85856 173.20963 119.36203 298.97556 239.90785 149.72990 145.83624
#> [1002] 199.97769 221.71715 124.50443 127.57657 126.63670 224.84161 193.52027
#> [1009]  67.17684 193.24399 163.77183 115.04808 139.80491 194.08049 142.56183
#> [1016] 150.05278 112.32713 229.27074 123.95988 146.80726 185.69923 111.44768
#> [1023] 148.97687 122.53709 127.37003  92.55487 106.25934 151.61132 166.55049
#> [1030] 166.27216  89.84812 285.64838 210.83361 119.86280 120.26534 166.67314
#> [1037] 128.77576 128.26908 203.90985 124.66021 285.09853 111.19870 185.07644
#> [1044]  88.79945  97.17543 121.60783 183.18550 113.42228 234.66441 148.81920
#> [1051] 127.67544 144.30028 183.15017 180.80073 212.84778  81.80066 156.28369
#> [1058] 217.85070 136.70053 196.65904 155.49179 120.33784 123.21350 293.16047
#> [1065] 141.29326 286.30265 137.11341 191.99534 155.88733 232.83108 141.37831
#> [1072] 114.62536 154.08698 129.56200 197.71852 143.31929 155.63173 166.92790
#> [1079] 151.48311 133.67364 183.79864 134.72402 108.41123 113.01052 145.28928
#> [1086]  85.79995 220.96699 127.18015 215.14311 190.93505 156.44133 164.06449
#> [1093] 164.81190  85.39927 179.14410 135.09159
nobs(cpts)
#> [1] 1096
logLik(cpts)
#> 'log Lik.' -5636.419 (df=4)
fitted(cpts)
#>    [1] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>    [9] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>   [17] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>   [25] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>   [33] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>   [41] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>   [49] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>   [57] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>   [65] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>   [73] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>   [81] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>   [89] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>   [97] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [105] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [113] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [121] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [129] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [137] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [145] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [153] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [161] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [169] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [177] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [185] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [193] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [201] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [209] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [217] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [225] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [233] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [241] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [249] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [257] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [265] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [273] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [281] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [289] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [297] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [305] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [313] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [321] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [329] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [337] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [345] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [353] 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550 35.75550
#>  [361] 35.75550 35.75550 35.75550 35.75550 76.79424 76.79424 76.79424 76.79424
#>  [369] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [377] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [385] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [393] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [401] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [409] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [417] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [425] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [433] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [441] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [449] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [457] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [465] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [473] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [481] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [489] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [497] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [505] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [513] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [521] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [529] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [537] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [545] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [553] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [561] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [569] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [577] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [585] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [593] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [601] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [609] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [617] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [625] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [633] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [641] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [649] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [657] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [665] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [673] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [681] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [689] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [697] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [705] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [713] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [721] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [729] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [737] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [745] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [753] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [761] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [769] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [777] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [785] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [793] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [801] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [809] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [817] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [825] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [833] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [841] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [849] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [857] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [865] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [873] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [881] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [889] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [897] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [905] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [913] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [921] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [929] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [937] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [945] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [953] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [961] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [969] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [977] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [985] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#>  [993] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#> [1001] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#> [1009] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#> [1017] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#> [1025] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#> [1033] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#> [1041] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#> [1049] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#> [1057] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#> [1065] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#> [1073] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#> [1081] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
#> [1089] 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424 76.79424
residuals(cpts)
#> Time Series:
#> Start = 1 
#> End = 1096 
#> Frequency = 1 
#>    [1]  -0.24589590  -6.75258255  -0.12041859  -2.77097920  -6.21992881
#>    [6] -10.34769245  -6.93053431  14.55606567 -10.82365503  23.12513076
#>   [11]  -5.39772954  -2.09235538  -3.16897330   7.03237942   9.48412273
#>   [16] -12.09132952 -15.74596568  -4.10804719  -1.10043760  32.73477373
#>   [21]   7.78397890 -10.45611907  21.43693326   3.76444458 -11.96525470
#>   [26]  -7.94098829   6.25161648   0.34261639  -3.00886394  -1.01871331
#>   [31]  24.45368752  19.76660663  -1.83507529  -3.26601837 -13.09055963
#>   [36] -11.59431452  -8.69968026 -19.65761215  -4.06111144  -8.53348500
#>   [41] -15.11523674  -1.77877706  10.95449795 -10.47161054 -10.87343300
#>   [46]   5.99797123   0.74897881   0.22746599  -4.35938729   8.38602316
#>   [51]  32.07007013  -8.93931562  -8.20258378  -4.98101596  15.41821173
#>   [56]  15.58766431 -12.65494077 -12.82588625  -6.36140820  37.91981181
#>   [61] -12.29532797  -0.39264661  -6.30467633  18.42511963 -10.70655447
#>   [66]  -8.27636790  15.66217009  -3.45163280   7.42365752  -5.64262392
#>   [71] -13.30015134  -2.05272528  -1.58830527   8.89380531 -13.14556697
#>   [76]  14.50947264  14.52844033  -2.50606598   2.98339944   0.99786203
#>   [81]  16.63330416   0.87355922 -19.07395592  -0.63160939   0.13688343
#>   [86]  26.05500072  12.09868720  -5.49104512   1.17599721  19.05502876
#>   [91]  -5.43071441   1.71029129  14.17891773  10.26183513 -10.88865391
#>   [96]   0.12884350   6.50169513   2.03191014  10.50784754   2.77425595
#>  [101]  12.24316474   8.52844213  15.30425561  15.23842998   0.25475217
#>  [106]   1.68858777 -18.98521000  -4.69966812 -13.35206445  -8.53401484
#>  [111]  -7.43967749  22.31254794   2.55139918  11.50940058  -4.19739319
#>  [116]  11.87717934 -12.37216228  -2.45393652  11.00068003  -5.29039254
#>  [121] -12.58490721  -4.22826527   2.79928764  -0.20610496  13.87935556
#>  [126]   3.09907819   0.04654593 -11.25322808 -15.26525168  -4.16004136
#>  [131]  -1.90557931  -5.72978418 -11.91394344  -7.83382923  -7.70693290
#>  [136]  19.78773253 -11.93417567  10.51551407   0.19818518  11.90215438
#>  [141]  -4.38285115   1.68341305  -9.01952306   4.02658962   1.48439665
#>  [146]   2.94198210 -10.00589672 -20.74596365   5.27731259  -0.19728225
#>  [151]  -7.55297715  -1.49977970   0.97009832  -9.88330861  -1.49903274
#>  [156]   5.30167833  10.24400524  -0.65933070  -5.64614414  20.54142158
#>  [161] -14.12943339  -3.58672159  12.32593428  -8.19038568 -10.88720897
#>  [166] -12.54577623 -12.40170302 -10.88070560   6.22751231   7.24475475
#>  [171]   6.62157688  21.83994818  -7.17378155   0.02320074  -6.92736437
#>  [176]  -0.44496768   9.31901505 -15.83493252  14.19320390   6.30148659
#>  [181]   9.94368432   4.79696638  -6.98500608  -1.50452019   3.81974007
#>  [186]  -8.60969114   8.93506699   0.39415031  13.75013505  14.03493016
#>  [191] -17.75991374   3.90147122   9.21460078 -17.43614966  -4.51028148
#>  [196]  -4.68075511 -14.13643946   4.30933910  -0.76520348 -13.81125567
#>  [201]   1.68853027   4.45627592   2.48192923  -3.94660457  -1.13652887
#>  [206]  12.05974030  -1.17243136  -5.26041615   9.54065948  13.32206649
#>  [211] -11.57910628  -0.10674906 -18.12480086 -14.13683300  -3.45737448
#>  [216]  -9.34062484  -7.44008132 -10.73232287 -15.52030168  -7.62303495
#>  [221]  27.93762528   6.76867139  -6.72421674  18.27630926 -10.15382939
#>  [226]  30.46839057  -9.72696035   8.19056423   3.51158047 -13.84915693
#>  [231]  -2.65258661  -4.38596911  32.99082030  13.82420239   1.02141356
#>  [236]  26.47879476  -2.58311265  -1.05336815  -6.42464472   4.65114159
#>  [241] -15.23857378  20.73431749  11.82101982 -16.96630692   4.08144457
#>  [246] -12.18106281  -2.84966411 -11.78268583  -6.59200763  -1.81272030
#>  [251]  -2.42790631   4.63536230   1.33238966  -1.20062113  -7.68010434
#>  [256]  -1.19661271  -3.24677706  -5.49500100  -4.14529332  -6.52941130
#>  [261] -14.09533743   4.24310505  -4.21282482  18.90693470  -6.92069142
#>  [266]  14.67551289   5.81473017   0.77140952   5.98771608  -5.86680920
#>  [271]  29.88113631  -6.82769235  -4.12807093  24.26697869 -12.33676011
#>  [276]  -5.33984535  13.53363445  -5.00477363   5.32938635   0.19792405
#>  [281]  -9.44897134  -5.33316947  -0.16931389  -8.63854413   5.32188833
#>  [286]  -3.58749322  18.47107684  -5.17069291  -2.99742303   4.38619527
#>  [291]   2.84299310  -1.12722393  -8.83143092  -3.09937196 -14.62693417
#>  [296] -13.99351733  -4.03036110  -2.93667579   3.81941267  -6.19303859
#>  [301]  -9.23378861  -2.58741966  -5.28704779  -9.04402216 -15.63373035
#>  [306]  -6.90234786  -9.89741009  37.31474672  14.36171249  19.84786773
#>  [311]   6.87011283  17.87260893   4.61942203   0.33542310  18.39546926
#>  [316]  16.72561160  -7.54042352   8.58012484 -20.60890338  -3.98267241
#>  [321]  -7.72713961   7.09937559  -5.67614176  -3.32822147  -1.84194762
#>  [326] -18.70692079  -6.74020129  -4.70751699 -11.46929044  -0.25094087
#>  [331]  10.20631523 -13.76179142   2.69990053  -9.96917196   9.32434324
#>  [336]  -8.70617609  14.27998032  -5.83525963  -9.48493420 -11.27631524
#>  [341]  23.37796600   0.12132937   6.38999379  -6.39093888   8.83380916
#>  [346]  -4.77698825 -13.91690700  10.72371241   3.96200445 -15.01019573
#>  [351] -13.79056588  -7.80364074   4.89448714  30.03916057  -0.80105495
#>  [356]  -1.87828879  -8.33569420 -16.07988138   3.64432091   9.93977593
#>  [361] -13.56671476   1.79002919 -12.59703734  -7.30042717 -51.55947102
#>  [366] -43.79196812 -49.62849933 -42.60211980 -37.97008515 -59.53146366
#>  [371] -38.38798059 -19.77916149 -36.51391992 -49.64342590 -44.58402857
#>  [376] -35.20316786 -32.04059045 -45.21765513 -32.29624361 -35.68190809
#>  [381] -41.55969318 -52.31790154 -31.66009447 -39.54904997 -33.94402853
#>  [386] -43.94779211 -39.78346921 -37.82634723 -36.71318458 -32.80159501
#>  [391] -44.54678519 -49.55349122 -45.12810883 -41.81021725 -49.50026980
#>  [396] -41.80423064 -45.53672646 -46.72194488 -49.60947699 -39.42962413
#>  [401] -42.38503136 -49.63339477 -39.42721563 -28.81088993 -33.31333763
#>  [406] -53.48193277 -56.10893199 -36.07361466 -63.12435456 -48.79734824
#>  [411] -51.18361659 -48.90335231 -58.86186458 -53.53918882  -6.92070822
#>  [416] -56.25472371 -38.02979966 -31.25640171 -32.80056066 -50.93188501
#>  [421] -53.76958909 -50.10635846 -24.79949522 -45.29479088 -36.81121008
#>  [426] -50.83095693 -58.11133914 -31.39684570 -34.93901966 -35.90650345
#>  [431] -43.66405674 -40.28023447 -32.85756753 -48.07201286 -59.42574790
#>  [436] -46.99394104 -47.42660775 -43.57788264 -45.81109965 -32.78519449
#>  [441] -26.82950413 -44.16107069 -41.83486734 -34.69503822 -50.80462795
#>  [446] -50.65884713 -35.87672005 -49.65498515 -52.86008918 -32.44985913
#>  [451] -51.99354952 -37.22797635 -42.62263365 -47.45576107 -25.27738833
#>  [456] -38.69270512 -58.89518695 -46.95269390 -56.05744305 -58.84775512
#>  [461] -56.64898048 -46.18595817 -39.74195635 -49.80265107 -28.32360423
#>  [466] -47.15720588 -46.49613753 -47.34505621 -26.58681229 -51.56572517
#>  [471] -57.47814231 -27.30016267 -45.65503348 -31.75015699 -50.42924113
#>  [476] -55.42283544 -43.18960301 -36.96795341 -53.35007355 -25.94191727
#>  [481] -41.24151142 -45.37024783 -24.01074853 -30.37346700 -43.95266084
#>  [486] -35.21210717 -39.21550691  16.00114275 -54.91507777 -40.92723238
#>  [491] -32.16254157 -53.12051507 -27.21498080 -38.96792317 -48.27487750
#>  [496] -22.59976713 -51.36502854 -45.37377215 -31.03624251 -50.65419649
#>  [501] -44.36386847 -46.47426173 -16.44644711 -41.41040568 -59.13490262
#>  [506] -26.84102548 -27.81801193 -52.41815928 -14.73426833 -58.89166514
#>  [511] -41.75225072 -51.76738453 -39.66324250 -49.37308650 -30.22910815
#>  [516] -62.34756838 -58.65967375 -46.37585665 -36.73365852 -43.52713718
#>  [521] -17.79888974 -53.60941693 -40.12380689 -51.84093554 -49.60360042
#>  [526] -50.02477757 -39.30992946 -39.65921079 -53.98553956 -43.81048113
#>  [531] -60.33797886 -51.56971746 -41.19723903 -52.77991203 -18.54883013
#>  [536] -42.69992679 -45.70339759 -47.50900617 -56.13987270 -52.27424595
#>  [541] -15.78786528 -43.19454706 -57.16587889 -45.89941712 -49.29777878
#>  [546] -29.05393316 -38.30569868   2.48859466 -26.95836839 -35.58597238
#>  [551] -15.95256253 -18.04994189  -3.05190281 -13.80403026 -32.05763333
#>  [556] -10.64477832   1.84006230 -17.94423563 -20.49459748 -27.02618548
#>  [561] -10.48240790   0.45201225 -46.59101495 -42.43119227 -36.65194666
#>  [566]  38.96883571 -23.44306075 -20.18133495 -22.76603174 -45.92768494
#>  [571] -11.87930227 -25.31814667 -18.77018883 -30.59547454  -1.33136752
#>  [576] -14.40731614 -14.66994470 -47.13510039 -27.96168792 -28.33713763
#>  [581]  11.05130390 -27.89833452   2.66437496 -31.35928841 -15.62208238
#>  [586] -32.64048720 -35.98141310 -48.12648867  24.02117572   4.00920558
#>  [591] -16.96637599 -16.32678694 -15.35293131 -43.55698556 -24.59800425
#>  [596]   6.71703331 -23.23486683 -12.87998530 -32.88200023 -21.43211175
#>  [601] -22.10664243 -20.43147969 -26.52621071 -13.43289393  -4.95371738
#>  [606] -32.77461156 -21.88548724 -28.74342028  -3.45820249 -35.92814918
#>  [611] -23.65010830 -17.04740898  -2.65815140  -4.06605667  -2.99056585
#>  [616] -30.43644794 -37.33374968  -7.42293318  -7.56146732 -37.31108576
#>  [621] -11.16249471 -26.28118670   2.79859946 -33.51435328 -47.53461044
#>  [626] -22.85292473 -29.49099185  13.09302087 -12.30402209 -23.66677018
#>  [631] -25.18107586 -29.07011915  25.66999379   3.01571959 -25.16685227
#>  [636] -30.84747044 -32.59044098 -14.32270395 -20.08101004 -31.58484732
#>  [641] -43.22908012  16.96658986 -20.51676012 -33.76363761   9.32711566
#>  [646]  -9.97438802  26.94292332 -30.97452319 -10.40339387 -33.57651531
#>  [651] -20.62676813 -17.51011200 -26.05930807 -11.53123315  30.67074013
#>  [656]  -8.39607584   0.74231129 -13.79190650  23.58269449 -26.71077098
#>  [661] -25.47565783 -28.94842444  -3.50621736 -20.19133643 -27.31471251
#>  [666]  -2.64703306 -24.91093608  -3.81819709 -39.42495825 -26.24128393
#>  [671]  17.70393680   8.83944427 -29.57484494 -25.49961223 -45.91725028
#>  [676] -35.80355387 -11.57191675   7.38915148 -39.81877118  -9.11731200
#>  [681]  53.48090876 -20.28860338 -24.71209935 -40.16530320 -26.62020898
#>  [686] -32.81292151 -13.00606328  -7.07523680 -18.13144148 -42.53799510
#>  [691] -36.78212147 -38.28055414 -44.86397029  -6.71415414 -16.00916139
#>  [696] -25.59754141 -11.33985110  -6.65794077 -38.40785248 -30.36808840
#>  [701] -17.24110446 -27.69734539 -16.03939907 -10.12641391  -6.37584743
#>  [706]   1.00042183 -19.22304203 -10.51548199 -36.37545816 -25.60022126
#>  [711]  13.76001616 -48.58089310  -9.08399504 -24.06939414 -39.44996477
#>  [716]  -4.35641152  15.50183772 -21.20127723  -7.12975851 -18.49347198
#>  [721] -26.52646778  -2.17811137 -25.86863282 -24.81464475  22.70899369
#>  [726] -29.66759589  11.01010926  42.35864636  19.88087238 -49.58512298
#>  [731] -34.43469655 -25.43405606 -10.63958772 -25.79459133 -45.45697506
#>  [736] -47.16443466 -21.41928431  -4.74589970 -31.96653582 -30.21885620
#>  [741] -12.16555031 -37.97292939 -22.93297102 -46.17315915 -49.41530968
#>  [746]   8.60415698 -20.94133935 -11.89693914  17.89305893 -41.64278161
#>  [751] -39.27505729 -31.07423390  12.90406129 -30.65996246 -10.44328895
#>  [756] -39.37447181 -33.68747198 -36.65869540 -33.66236487 -52.05973476
#>  [761]  -0.26853386 -40.42857865  -5.61633860 -20.35339950 -13.59593565
#>  [766] -37.93297070 -20.24477522   6.26383843 -35.13311902 -16.65305196
#>  [771]  -3.42585368 -39.96089231 -29.79737560  -8.06954434 -28.76803214
#>  [776] -39.74501878  -9.11794753 -30.01218787 -33.40595681   2.96682620
#>  [781] -33.36613189 -41.90282485 -30.08575972   9.12683594 -11.24583625
#>  [786] -37.29428160 -35.69587701 -28.81508586 -14.47516902  -1.36447263
#>  [791]   6.47645434  -3.66247955 -18.22614676  -1.75599841 -39.71083471
#>  [796] -19.68212242 -13.90834113   3.22154201 -45.36204675 -26.51790190
#>  [801] -56.27106107 -19.60675475 -10.86276819 -34.14929655 -16.00976053
#>  [806] -34.66804797 -32.10012412 -18.14580038  -8.02549173  86.56761123
#>  [811] -17.48851785 -32.62990572  -2.76567020 -34.62830033 -28.99022611
#>  [816] -30.72478538  -8.65880565 -18.51965523 -32.34587127 -27.08077428
#>  [821] -34.87054697 -11.68872332 113.63454910  23.75689223   7.93815597
#>  [826]  18.40016173 -14.16658811   4.54681059 -13.94497178  42.61703433
#>  [831]  20.90161575  26.44622816  55.25355022 -12.84527660 -15.67738336
#>  [836]  -7.96403689   3.90703985  41.56750158  -6.90933767  -1.11485046
#>  [841]  21.08008223   7.67779701  90.77991363  42.54528396  36.08379116
#>  [846]  17.81541277 -22.26780525  58.10116347   3.97415820  24.07075670
#>  [851]  48.56639758   4.05935955   4.48177525  25.35456348 -13.92411316
#>  [856]  13.01680785  13.74742110   1.08498729  77.46628875  27.65105674
#>  [861]  13.19945647  60.32358765  31.83888559   4.86464085  14.96762518
#>  [866]  76.74124055  16.38462727  54.49518580 -17.83679065 -13.20160450
#>  [871]   9.93679271  82.21884203 -20.30960500 -23.03010261   2.56670780
#>  [876]  27.37843979   5.89683816  -1.32233380   3.31069334  46.54751458
#>  [881]  40.31594027   5.88563187  10.44863598   1.12953135  28.40014133
#>  [886]  -1.31963272  -3.52751835  27.16706565  11.90020397  -9.38589917
#>  [891]  38.45085572  30.84915029  16.32248948  53.08534922  49.23864964
#>  [896]  41.42302922  24.44893764   9.04885579   6.44746522  17.58012874
#>  [901]  18.73289567 -18.60719379  -5.86134370  58.85094374  45.38221278
#>  [906] -28.84694547   5.11185246  -5.50112642 -17.22867460  14.17458549
#>  [911]  28.48556799  -8.68639962 -14.54941894  41.33069399  12.50319599
#>  [916]  28.13921732 -22.48132077  41.43330965   9.20568079  -8.50542360
#>  [921]  40.08350680 -16.90343759  11.72569595  48.16653282 -27.79896512
#>  [926]   6.62872022 -37.58074466  28.12177844  19.97531318  35.80327941
#>  [931]  -5.66721733  11.94513129  -7.80876601  -6.08784058  16.89336881
#>  [936]  54.92831049   5.79661360   4.77555902   3.32746820  83.92806710
#>  [941]  53.89428063 -15.13584635  98.85344467  26.35513317  56.53096983
#>  [946]  83.36321802  20.82375659  42.82621331  48.25160108  43.87876767
#>  [951]  34.17527246 -14.63172294 138.31116142   5.19191513  33.72767193
#>  [956] -23.67642375   6.21210778 -17.78262640  90.63671446  69.63690522
#>  [961]  59.93877056  16.74571190  15.84123809  21.77428006 -16.91281562
#>  [966]  24.65721445  26.04640930  38.59124308  34.07906225  19.86425870
#>  [971]  -6.52912547  -3.59520401 127.64863798  43.73099721  71.68159438
#>  [976]  99.72817928  -4.28791645  21.22082839   8.28164701  45.30324281
#>  [981]  96.67663127 195.26818760  38.04822789 117.64123035 106.16075991
#>  [986]  22.91333277  78.52759458 158.10780987  72.28947812  52.64526362
#>  [991]  15.37976008  73.51241813  50.54864948  18.77111314 107.06432034
#>  [996]  96.41538686  42.56778410 222.18132153 163.11360726  72.93565842
#> [1001]  69.04199587 123.18344640 144.92290884  47.71019035  50.78232269
#> [1006]  49.84245555 148.04736261 116.72602820  -9.61739854 116.44974861
#> [1011]  86.97758367  38.25383504  63.01066527 117.28624478  65.76758452
#> [1016]  73.25853533  35.53288784 152.47649508  47.16563695  70.01302177
#> [1021] 108.90498367  34.65343556  72.18262934  45.74285133  50.57578378
#> [1026]  15.76062569  29.46509401  74.81708052  89.75625024  89.47791815
#> [1031]  13.05388178 208.85413246 134.03936527  43.06855330  43.47110131
#> [1036]  89.87889496  51.98152147  51.47483512 127.11560536  47.86596782
#> [1041] 208.30428880  34.40445650 108.28219280  12.00520399  20.38118290
#> [1046]  44.81358450 106.39126095  36.62803211 157.87016886  72.02495660
#> [1051]  50.88119421  67.50603277 106.35592779 104.00648805 136.05354151
#> [1056]   5.00642032  79.48945204 141.05645784  59.90628362 119.86479656
#> [1061]  78.69754218  43.54359926  46.41925233 216.36622708  64.49901556
#> [1066] 209.50840908  60.31916524 115.20109429  79.09308622 156.03683379
#> [1071]  64.58406980  37.83111238  77.29273754  52.76775460 120.92427573
#> [1076]  66.52504365  78.83748829  90.13366197  74.68886895  56.87940024
#> [1081] 107.00439830  57.92977853  31.61699079  36.21627468  68.49503669
#> [1086]   9.00571116 144.17274296  50.38590801 138.34886486 114.14081154
#> [1091]  79.64708283  87.27024637  88.01765363   8.60502728 102.34985316
#> [1096]  58.29734714
changepoints(cpts)
#> [1] 365
augment(cpts)
#> # A tsibble: 1,096 x 5 [1]
#> # Groups:    region [2]
#>    index     y region  .fitted  .resid
#>    <int> <dbl> <fct>     <dbl>   <dbl>
#>  1     1  35.5 [0,365)    35.8  -0.246
#>  2     2  29.0 [0,365)    35.8  -6.75 
#>  3     3  35.6 [0,365)    35.8  -0.120
#>  4     4  33.0 [0,365)    35.8  -2.77 
#>  5     5  29.5 [0,365)    35.8  -6.22 
#>  6     6  25.4 [0,365)    35.8 -10.3  
#>  7     7  28.8 [0,365)    35.8  -6.93 
#>  8     8  50.3 [0,365)    35.8  14.6  
#>  9     9  24.9 [0,365)    35.8 -10.8  
#> 10    10  58.9 [0,365)    35.8  23.1  
#> # ℹ 1,086 more rows
tidy(cpts)
#> # A tibble: 2 × 9
#>   region        num_obs   min   max  mean    sd begin   end param_mu
#>   <chr>           <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>    <dbl>
#> 1 [0,365)           364  15.0  73.7  35.8  11.2     0   365     35.8
#> 2 [365,1.1e+03]     732  13.7 299.   76.8  50.1   365  1096     76.8
glance(cpts)
#> # A tibble: 1 × 11
#>   pkg        version algorithm params num_cpts  rmse logLik    AIC    BIC   MBIC
#>   <chr>      <pckg_> <chr>     <list>    <int> <dbl>  <dbl>  <dbl>  <dbl>  <dbl>
#> 1 tidychang… 0.0.1   meanshif… <dbl>         1  41.4 -5636. 11281. 11301. 11292.
#> # ℹ 1 more variable: MDL <dbl>
plot(fit_meanshift_norm(CET, tau = 330))

plot(fit_trendshift(CET, tau = 330))

plot(fit_lmshift(CET, tau = 330, deg_poly = 2))

plot(fit_lmshift(CET, tau = 330, deg_poly = 10))