Cross validation check for spline in time, spline in space time and GAM in order to select the most appropriate number of knots when creating basis functions.
Source:R/cross_val_check.R
cross_val_check.RdCross validation check for spline in time, spline in space time and GAM in order to select the most appropriate number of knots when creating basis functions.
cross_val_check(
data,
prediction_grid_res = 50,
spline_nseg = NULL,
spline_nseg_t = 20,
spline_nseg_st = 6,
n_iterations = 1000,
n_burnin = 100,
n_thin = 5,
n_chains = 2,
model_type,
n_fold = 5,
seed = NULL,
CI = 0.95
)Arguments
- data
Raw input data
- prediction_grid_res
Resolution of grid. Predictions over every 50 years(default) can vary based on user preference, as larger values will reduce computational run time.
- spline_nseg
This setting is focused on the Noisy Input Spline model. It provides the number of segments used to create basis functions.
- spline_nseg_t
This setting is focused on the Noisy Input Generalised Additive Model. It provides the number of segments used to create basis functions.
- spline_nseg_st
This setting is focused on the Noisy Input Generalised Additive Model. It provides the number of segments used to create basis functions.
- n_iterations
Number of iterations. Increasing this value will increase the computational run time.
- n_burnin
Size of burn-in. This number removes a certain number of samples at the beginning.
- n_thin
Amount of thinning.
- n_chains
Number of MCMC chains. The number of times the model will be run.
- model_type
The user selects their statistical model type. The user can select a Noisy Input Spline in Time using "ni_spline_t". The user can select a Noisy Input Spline in Space Time using "ni_spline_st". The user can select a Noisy Input Generalised Additive Model using "ni_gam_decomp".
- n_fold
Number of folds required in the cross validation. The default is 5 fold cross validation.
- seed
If the user wants reproducible results, seed stores the output when random selection was used in the creation of the cross validation.
- CI
Size of the credible interval required by the user. The default is 0.95 corresponding to 95%.
Value
A list containing the model comparison measures, e.g. Root Mean Square Error (RMSE), and plot of true vs predicted values
Examples
# \donttest{
data <- NAACproxydata %>% dplyr::filter(Site == "Cedar Island")
cross_val_check(data = data, model_type = "ni_spline_t",n_fold = 2)
#> module glm loaded
#> Compiling model graph
#> Resolving undeclared variables
#> Allocating nodes
#> Graph information:
#> Observed stochastic nodes: 52
#> Unobserved stochastic nodes: 15
#> Total graph size: 915
#>
#> Initializing model
#>
#> Compiling model graph
#> Resolving undeclared variables
#> Allocating nodes
#> Graph information:
#> Observed stochastic nodes: 52
#> Unobserved stochastic nodes: 122
#> Total graph size: 5494
#>
#> Initializing model
#>
#> No convergence issues detected.
#> Compiling model graph
#> Resolving undeclared variables
#> Allocating nodes
#> Graph information:
#> Observed stochastic nodes: 52
#> Unobserved stochastic nodes: 15
#> Total graph size: 915
#>
#> Initializing model
#>
#> Compiling model graph
#> Resolving undeclared variables
#> Allocating nodes
#> Graph information:
#> Observed stochastic nodes: 52
#> Unobserved stochastic nodes: 123
#> Total graph size: 5528
#>
#> Initializing model
#>
#> No convergence issues detected.
#> $ME_MAE_RSME_fold_site
#> # A tibble: 2 × 5
#> SiteName CV_fold_number RSME MAE ME
#> <fct> <fct> <dbl> <dbl> <dbl>
#> 1 "Cedar Island,\n North Carolina" 1 0.0506 0.0319 0.00702
#> 2 "Cedar Island,\n North Carolina" 2 0.0523 0.0345 -0.00725
#>
#> $ME_MAE_RSME_site
#> # A tibble: 1 × 4
#> SiteName RSME MAE ME
#> <fct> <dbl> <dbl> <dbl>
#> 1 "Cedar Island,\n North Carolina" 0.00118 0.0332 -0.000115
#>
#> $ME_MAE_RSME_overall
#> RSME MAE ME
#> 1 0.001177013 0.03315785 -0.0001154156
#>
#> $ME_MAE_RSME_fold
#> # A tibble: 2 × 4
#> CV_fold_number RSME MAE ME
#> <fct> <dbl> <dbl> <dbl>
#> 1 1 0.0506 0.0319 0.00702
#> 2 2 0.0523 0.0345 -0.00725
#>
#> $true_pred_plot
#>
#> $CV_model_df
#> Longitude Latitude SiteName data_type_id Age
#> 1 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord -800
#> 2 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord -661
#> 3 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord -211
#> 4 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord -174
#> 5 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord -143
#> 6 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord -112
#> 7 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 46
#> 8 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 73
#> 9 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 153
#> 10 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 229
#> 11 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 505
#> 12 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 604
#> 13 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 605
#> 14 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 623
#> 15 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 625
#> 16 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 672
#> 17 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 745
#> 18 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 818
#> 19 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 825
#> 20 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 883
#> 21 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 895
#> 22 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1038
#> 23 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1057
#> 24 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1068
#> 25 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1093
#> 26 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1121
#> 27 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1146
#> 28 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1159
#> 29 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1178
#> 30 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1295
#> 31 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1322
#> 32 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1340
#> 33 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1543
#> 34 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1570
#> 35 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1603
#> 36 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1644
#> 37 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1669
#> 38 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1697
#> 39 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1725
#> 40 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1768
#> 41 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1864
#> 42 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1885
#> 43 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1898
#> 44 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1910
#> 45 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1913
#> 46 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1918
#> 47 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1937
#> 48 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1951
#> 49 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1957
#> 50 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1963
#> 51 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1979
#> 52 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1996
#> 53 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord -731
#> 54 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord -525
#> 55 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord -333
#> 56 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord -270
#> 57 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord -50
#> 58 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 15
#> 59 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 100
#> 60 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 278
#> 61 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 312
#> 62 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 346
#> 63 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 381
#> 64 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 434
#> 65 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 568
#> 66 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 572
#> 67 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 586
#> 68 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 659
#> 69 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 725
#> 70 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 763
#> 71 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 789
#> 72 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 860
#> 73 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 941
#> 74 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 983
#> 75 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1002
#> 76 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1082
#> 77 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1155
#> 78 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1219
#> 79 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1267
#> 80 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1287
#> 81 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1354
#> 82 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1389
#> 83 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1408
#> 84 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1436
#> 85 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1460
#> 86 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1468
#> 87 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1490
#> 88 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1525
#> 89 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1590
#> 90 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1626
#> 91 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1653
#> 92 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1736
#> 93 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1790
#> 94 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1840
#> 95 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1846
#> 96 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1874
#> 97 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1923
#> 98 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1927
#> 99 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1930
#> 100 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1934
#> 101 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1941
#> 102 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1974
#> 103 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 1988
#> 104 -76.38 34.971 Cedar Island,\n North Carolina ProxyRecord 2005
#> true_RSL Age_err RSL_err CV_fold test_set NI_var_grid_term pred_RSL
#> 1 -2.36 65.25 0.06 1 test_set 0.0002664112 -2.2856579
#> 2 -2.28 47.75 0.06 1 test_set 0.0002123298 -2.2963784
#> 3 -2.16 40.25 0.06 1 test_set 0.0013410751 -2.1419665
#> 4 -2.14 46.00 0.06 1 test_set 0.0014009482 -2.1196809
#> 5 -2.12 44.00 0.06 1 test_set 0.0014472592 -2.1002065
#> 6 -2.10 42.50 0.06 1 test_set 0.0014900571 -2.0800558
#> 7 -1.98 33.00 0.06 1 test_set 0.0016536074 -1.9687642
#> 8 -1.94 35.50 0.06 1 test_set 0.0016724261 -1.9486248
#> 9 -1.86 55.50 0.06 1 test_set 0.0017125393 -1.8876939
#> 10 -1.82 74.50 0.06 1 test_set 0.0017322396 -1.8286768
#> 11 -1.66 64.75 0.06 1 test_set 0.0017597641 -1.6103789
#> 12 -1.54 18.50 0.06 1 test_set 0.0017543568 -1.5318847
#> 13 -1.44 62.25 0.06 1 test_set 0.0017542610 -1.5310943
#> 14 -1.50 15.25 0.06 1 test_set 0.0017523963 -1.5168782
#> 15 -1.42 62.25 0.06 1 test_set 0.0017521726 -1.5153001
#> 16 -1.46 36.75 0.06 1 test_set 0.0017459687 -1.4783074
#> 17 -1.34 60.75 0.06 1 test_set 0.0017327274 -1.4212917
#> 18 -1.35 45.00 0.06 1 test_set 0.0017150994 -1.3649745
#> 19 -1.31 65.50 0.06 1 test_set 0.0017131786 -1.3596177
#> 20 -1.29 65.75 0.06 1 test_set 0.0016957113 -1.3155662
#> 21 -1.31 49.00 0.06 1 test_set 0.0016917517 -1.3065316
#> 22 -1.24 61.00 0.06 1 test_set 0.0016354430 -1.2013365
#> 23 -1.21 56.75 0.06 1 test_set 0.0016266946 -1.1877445
#> 24 -1.19 53.75 0.06 1 test_set 0.0016214939 -1.1799212
#> 25 -1.16 45.50 0.06 1 test_set 0.0016093036 -1.1622697
#> 26 -1.14 38.75 0.06 1 test_set 0.0015983909 -1.1427042
#> 27 -1.11 36.50 0.06 1 test_set 0.0015937657 -1.1253632
#> 28 -1.09 36.50 0.06 1 test_set 0.0015932688 -1.1163731
#> 29 -1.06 36.00 0.06 1 test_set 0.0015948911 -1.1032454
#> 30 -0.97 42.00 0.06 1 test_set 0.0016663466 -1.0212158
#> 31 -1.04 17.75 0.06 1 test_set 0.0016978550 -1.0015953
#> 32 -0.94 39.75 0.06 1 test_set 0.0017219895 -0.9882882
#> 33 -0.79 25.25 0.06 1 test_set 0.0021674702 -0.8186421
#> 34 -0.76 24.25 0.06 1 test_set 0.0022507094 -0.7923977
#> 35 -0.73 23.50 0.06 1 test_set 0.0023600946 -0.7588191
#> 36 -0.69 29.00 0.06 1 test_set 0.0025077173 -0.7146054
#> 37 -0.66 30.50 0.06 1 test_set 0.0026041047 -0.6861860
#> 38 -0.64 26.25 0.06 1 test_set 0.0027177911 -0.6529552
#> 39 -0.62 24.75 0.06 1 test_set 0.0028375344 -0.6181641
#> 40 -0.58 19.50 0.06 1 test_set 0.0030332190 -0.5615060
#> 41 -0.48 14.00 0.06 1 test_set 0.0035216418 -0.4194954
#> 42 -0.44 10.25 0.06 1 test_set 0.0036379752 -0.3853253
#> 43 -0.42 6.75 0.06 1 test_set 0.0037116985 -0.3635775
#> 44 -0.39 5.25 0.06 1 test_set 0.0037809096 -0.3430901
#> 45 -0.38 5.75 0.06 1 test_set 0.0037983863 -0.3379056
#> 46 -0.36 7.00 0.06 1 test_set 0.0038276684 -0.3292085
#> 47 -0.28 8.00 0.06 1 test_set 0.0039407022 -0.2955112
#> 48 -0.23 7.75 0.06 1 test_set 0.0040257749 -0.2700135
#> 49 -0.22 7.00 0.06 1 test_set 0.0040626981 -0.2589094
#> 50 -0.21 5.50 0.06 1 test_set 0.0040998995 -0.2476983
#> 51 -0.18 5.75 0.06 1 test_set 0.0042004629 -0.2172721
#> 52 -0.14 2.00 0.06 1 test_set 0.0043094785 -0.1840864
#> 53 -2.32 36.25 0.06 2 test_set 0.0001060044 -2.3350919
#> 54 -2.24 65.00 0.06 2 test_set 0.0006067928 -2.3152639
#> 55 -2.20 35.00 0.06 2 test_set 0.0011009929 -2.2336263
#> 56 -2.18 26.25 0.06 2 test_set 0.0012273805 -2.1966163
#> 57 -2.06 41.00 0.06 2 test_set 0.0015301008 -2.0399566
#> 58 -2.02 27.50 0.06 2 test_set 0.0015782915 -1.9881719
#> 59 -1.90 37.25 0.06 2 test_set 0.0016129198 -1.9186147
#> 60 -1.79 78.50 0.06 2 test_set 0.0016216551 -1.7714480
#> 61 -1.77 79.75 0.06 2 test_set 0.0016205838 -1.7434129
#> 62 -1.75 79.50 0.06 2 test_set 0.0016187528 -1.7154385
#> 63 -1.73 78.50 0.06 2 test_set 0.0016160743 -1.6867202
#> 64 -1.70 75.25 0.06 2 test_set 0.0016104858 -1.6434205
#> 65 -1.62 32.25 0.06 2 test_set 0.0015881221 -1.5353054
#> 66 -1.47 61.00 0.06 2 test_set 0.0015872732 -1.5321147
#> 67 -1.58 26.25 0.06 2 test_set 0.0015842190 -1.5209661
#> 68 -1.39 60.25 0.06 2 test_set 0.0015662067 -1.4633520
#> 69 -1.42 41.25 0.06 2 test_set 0.0015469071 -1.4120982
#> 70 -1.39 43.75 0.06 2 test_set 0.0015344965 -1.3829922
#> 71 -1.37 44.75 0.06 2 test_set 0.0015254583 -1.3632613
#> 72 -1.33 44.75 0.06 2 test_set 0.0014985139 -1.3101989
#> 73 -1.28 51.50 0.06 2 test_set 0.0014637287 -1.2512633
#> 74 -1.26 62.25 0.06 2 test_set 0.0014439944 -1.2214385
#> 75 -1.24 50.50 0.06 2 test_set 0.0014346861 -1.2081215
#> 76 -1.20 40.25 0.06 2 test_set 0.0013940388 -1.1533123
#> 77 -1.16 43.75 0.06 2 test_set 0.0013804213 -1.1047092
#> 78 -1.12 39.50 0.06 2 test_set 0.0013966657 -1.0621668
#> 79 -0.99 44.25 0.06 2 test_set 0.0014261291 -1.0296994
#> 80 -1.08 19.75 0.06 2 test_set 0.0014427770 -1.0159208
#> 81 -1.00 20.25 0.06 2 test_set 0.0015172834 -0.9682118
#> 82 -0.91 31.00 0.06 2 test_set 0.0015676798 -0.9420757
#> 83 -0.96 85.75 0.06 2 test_set 0.0015983357 -0.9274635
#> 84 -0.88 30.50 0.06 2 test_set 0.0016477428 -0.9053205
#> 85 -0.86 27.25 0.06 2 test_set 0.0016941032 -0.8857094
#> 86 -0.92 120.50 0.06 2 test_set 0.0017103796 -0.8790335
#> 87 -0.84 25.50 0.06 2 test_set 0.0017572609 -0.8602954
#> 88 -0.81 26.00 0.06 2 test_set 0.0018382574 -0.8292590
#> 89 -0.74 23.25 0.06 2 test_set 0.0020095724 -0.7671462
#> 90 -0.71 26.00 0.06 2 test_set 0.0021161418 -0.7299430
#> 91 -0.68 29.50 0.06 2 test_set 0.0022015363 -0.7005977
#> 92 -0.61 23.75 0.06 2 test_set 0.0024933921 -0.6018361
#> 93 -0.56 16.50 0.06 2 test_set 0.0027070535 -0.5299169
#> 94 -0.52 14.00 0.06 2 test_set 0.0029216025 -0.4573484
#> 95 -0.51 14.75 0.06 2 test_set 0.0029484284 -0.4482317
#> 96 -0.46 12.75 0.06 2 test_set 0.0030766759 -0.4044806
#> 97 -0.34 7.50 0.06 2 test_set 0.0033132366 -0.3229465
#> 98 -0.32 8.00 0.06 2 test_set 0.0033332291 -0.3160010
#> 99 -0.31 8.25 0.06 2 test_set 0.0033482910 -0.3107625
#> 100 -0.29 8.00 0.06 2 test_set 0.0033684635 -0.3037384
#> 101 -0.26 7.75 0.06 2 test_set 0.0034040129 -0.2913373
#> 102 -0.19 5.50 0.06 2 test_set 0.0035758458 -0.2309715
#> 103 -0.16 5.00 0.06 2 test_set 0.0036508596 -0.2043914
#> 104 -0.12 2.25 0.06 2 test_set 0.0037428564 -0.1713197
#> upr lwr y_post_pred upr_PI lwr_PI CI CV_fold_number
#> 1 -2.4283142 -2.1483019 -2.2797988 -2.4785261 -2.09245947 95% 1
#> 2 -2.3808364 -2.2214143 -2.2977979 -2.4330108 -2.16019222 95% 1
#> 3 -2.1979738 -2.0789908 -2.1418220 -2.2650360 -2.01448402 95% 1
#> 4 -2.1709416 -2.0588144 -2.1215579 -2.2438031 -1.99627975 95% 1
#> 5 -2.1491010 -2.0431262 -2.1055287 -2.2426949 -1.98232398 95% 1
#> 6 -2.1271938 -2.0258634 -2.0842733 -2.2102602 -1.96121787 95% 1
#> 7 -2.0086463 -1.9244124 -1.9695807 -2.1009932 -1.84584266 95% 1
#> 8 -1.9880824 -1.9068777 -1.9416948 -2.0672737 -1.82186262 95% 1
#> 9 -1.9281550 -1.8485800 -1.8897181 -2.0089237 -1.76896937 95% 1
#> 10 -1.8699324 -1.7889046 -1.8300531 -1.9556005 -1.72140306 95% 1
#> 11 -1.6452776 -1.5742759 -1.6087471 -1.7476377 -1.48694045 95% 1
#> 12 -1.5614121 -1.4986325 -1.5292745 -1.6606959 -1.38569755 95% 1
#> 13 -1.5605416 -1.4978680 -1.5295132 -1.6371530 -1.40979360 95% 1
#> 14 -1.5448708 -1.4841517 -1.5170571 -1.6382993 -1.38808547 95% 1
#> 15 -1.5431297 -1.4826349 -1.5137607 -1.6427838 -1.40592995 95% 1
#> 16 -1.5069640 -1.4476130 -1.4846194 -1.6161565 -1.36969039 95% 1
#> 17 -1.4506311 -1.3885051 -1.4192808 -1.5239216 -1.29324706 95% 1
#> 18 -1.3953825 -1.3306756 -1.3626960 -1.4813565 -1.24365015 95% 1
#> 19 -1.3902682 -1.3251989 -1.3583724 -1.4806696 -1.23823848 95% 1
#> 20 -1.3479906 -1.2790238 -1.3159777 -1.4510487 -1.19161758 95% 1
#> 21 -1.3392626 -1.2692666 -1.3103072 -1.4379024 -1.17369975 95% 1
#> 22 -1.2358152 -1.1622869 -1.1975018 -1.3070852 -1.06874717 95% 1
#> 23 -1.2214917 -1.1490354 -1.1894340 -1.3151427 -1.05971432 95% 1
#> 24 -1.2141266 -1.1413816 -1.1785389 -1.2841374 -1.06188182 95% 1
#> 25 -1.1966003 -1.1245205 -1.1563330 -1.2894864 -1.03141798 95% 1
#> 26 -1.1770134 -1.1059402 -1.1314358 -1.2699267 -0.99068363 95% 1
#> 27 -1.1585522 -1.0891613 -1.1255640 -1.2373866 -1.00531134 95% 1
#> 28 -1.1496497 -1.0807595 -1.1139321 -1.2355108 -0.99509253 95% 1
#> 29 -1.1365486 -1.0685735 -1.1062343 -1.2342632 -0.97957096 95% 1
#> 30 -1.0521554 -0.9914664 -1.0201060 -1.1350788 -0.89994841 95% 1
#> 31 -1.0323778 -0.9719655 -1.0052137 -1.1287264 -0.87197255 95% 1
#> 32 -1.0187094 -0.9585761 -0.9869708 -1.1065937 -0.86854746 95% 1
#> 33 -0.8524938 -0.7822651 -0.8179860 -0.9372616 -0.69204953 95% 1
#> 34 -0.8270588 -0.7554579 -0.7878969 -0.9204092 -0.65890214 95% 1
#> 35 -0.7947574 -0.7228214 -0.7565458 -0.8754626 -0.63171850 95% 1
#> 36 -0.7508267 -0.6761712 -0.7125473 -0.8252930 -0.58975256 95% 1
#> 37 -0.7218433 -0.6498383 -0.6849612 -0.8121796 -0.55997037 95% 1
#> 38 -0.6881620 -0.6193923 -0.6534168 -0.7842210 -0.52553337 95% 1
#> 39 -0.6522496 -0.5859020 -0.6148834 -0.7328592 -0.50417689 95% 1
#> 40 -0.5923569 -0.5308249 -0.5625586 -0.6814137 -0.43578305 95% 1
#> 41 -0.4524356 -0.3889268 -0.4162769 -0.5546928 -0.28994867 95% 1
#> 42 -0.4186784 -0.3543505 -0.3841807 -0.5085813 -0.25592995 95% 1
#> 43 -0.3971078 -0.3309381 -0.3670550 -0.4935481 -0.24529200 95% 1
#> 44 -0.3775717 -0.3102056 -0.3375489 -0.4554580 -0.20576025 95% 1
#> 45 -0.3724837 -0.3053847 -0.3407897 -0.4547090 -0.22060697 95% 1
#> 46 -0.3639253 -0.2966261 -0.3260779 -0.4513503 -0.20102195 95% 1
#> 47 -0.3337779 -0.2589461 -0.2945871 -0.4249321 -0.17808429 95% 1
#> 48 -0.3099844 -0.2294585 -0.2759450 -0.3969794 -0.15036593 95% 1
#> 49 -0.2992599 -0.2177598 -0.2600771 -0.3797516 -0.14055266 95% 1
#> 50 -0.2887745 -0.2065306 -0.2466578 -0.3697795 -0.13129445 95% 1
#> 51 -0.2618381 -0.1699548 -0.2172641 -0.3371447 -0.08729375 95% 1
#> 52 -0.2331903 -0.1292661 -0.1846488 -0.3155831 -0.06702231 95% 1
#> 53 -2.4155362 -2.2583273 -2.3397026 -2.4754324 -2.20054972 95% 2
#> 54 -2.3881829 -2.2408044 -2.3154661 -2.4679459 -2.17428611 95% 2
#> 55 -2.3060943 -2.1594188 -2.2294061 -2.3596620 -2.10381176 95% 2
#> 56 -2.2570162 -2.1300915 -2.1938377 -2.3330153 -2.04573336 95% 2
#> 57 -2.0807893 -2.0002950 -2.0423850 -2.1643610 -1.91472309 95% 2
#> 58 -2.0294058 -1.9491720 -1.9894045 -2.1199860 -1.85551822 95% 2
#> 59 -1.9624685 -1.8772980 -1.9221931 -2.0547214 -1.81175594 95% 2
#> 60 -1.8189211 -1.7238507 -1.7715651 -1.8908369 -1.63031560 95% 2
#> 61 -1.7918753 -1.6945765 -1.7446515 -1.8812123 -1.59951663 95% 2
#> 62 -1.7637136 -1.6673340 -1.7170069 -1.8333751 -1.60011649 95% 2
#> 63 -1.7330981 -1.6397351 -1.6866036 -1.8059810 -1.56358298 95% 2
#> 64 -1.6883020 -1.6011910 -1.6453554 -1.7718637 -1.52258545 95% 2
#> 65 -1.5733474 -1.4967342 -1.5373426 -1.6541597 -1.41950514 95% 2
#> 66 -1.5699001 -1.4938791 -1.5317597 -1.6475531 -1.40739548 95% 2
#> 67 -1.5576385 -1.4832317 -1.5207636 -1.6413945 -1.38975456 95% 2
#> 68 -1.4980075 -1.4298398 -1.4633125 -1.5779218 -1.35320408 95% 2
#> 69 -1.4429051 -1.3821791 -1.4085396 -1.5230137 -1.28511990 95% 2
#> 70 -1.4131381 -1.3535800 -1.3863371 -1.5215584 -1.27148295 95% 2
#> 71 -1.3931761 -1.3352593 -1.3644309 -1.4863305 -1.24419419 95% 2
#> 72 -1.3394967 -1.2806449 -1.3100290 -1.4276475 -1.18419562 95% 2
#> 73 -1.2816146 -1.2209335 -1.2546802 -1.3720127 -1.13494631 95% 2
#> 74 -1.2513853 -1.1900675 -1.2241846 -1.3576761 -1.10736504 95% 2
#> 75 -1.2376372 -1.1771222 -1.2058431 -1.3210026 -1.08288075 95% 2
#> 76 -1.1824532 -1.1236450 -1.1578512 -1.2828018 -1.03328579 95% 2
#> 77 -1.1330234 -1.0756336 -1.1073691 -1.2205459 -0.99327797 95% 2
#> 78 -1.0896545 -1.0353369 -1.0689560 -1.1978701 -0.96017385 95% 2
#> 79 -1.0572465 -1.0008205 -1.0332706 -1.1519408 -0.89683658 95% 2
#> 80 -1.0438112 -0.9869930 -1.0131130 -1.1269478 -0.88426872 95% 2
#> 81 -0.9970434 -0.9382332 -0.9709189 -1.0888438 -0.85228891 95% 2
#> 82 -0.9722449 -0.9104462 -0.9396673 -1.0550348 -0.82505214 95% 2
#> 83 -0.9580163 -0.8958625 -0.9280362 -1.0568191 -0.80388182 95% 2
#> 84 -0.9362889 -0.8745002 -0.9021218 -1.0274464 -0.76298915 95% 2
#> 85 -0.9189656 -0.8535709 -0.8854645 -1.0132677 -0.76151822 95% 2
#> 86 -0.9121445 -0.8464642 -0.8718560 -0.9780185 -0.74750848 95% 2
#> 87 -0.8932290 -0.8275372 -0.8646013 -0.9959441 -0.73259313 95% 2
#> 88 -0.8636901 -0.7949169 -0.8366272 -0.9719163 -0.71446934 95% 2
#> 89 -0.8037334 -0.7313926 -0.7655351 -0.8814098 -0.64495190 95% 2
#> 90 -0.7664926 -0.6938545 -0.7277391 -0.8510811 -0.59908621 95% 2
#> 91 -0.7370883 -0.6644054 -0.7032804 -0.8220619 -0.57276921 95% 2
#> 92 -0.6356413 -0.5678724 -0.6068494 -0.7218539 -0.47536150 95% 2
#> 93 -0.5599281 -0.4994988 -0.5328693 -0.6652010 -0.39319381 95% 2
#> 94 -0.4851453 -0.4302439 -0.4600436 -0.5818036 -0.34801785 95% 2
#> 95 -0.4760349 -0.4211628 -0.4496785 -0.5727492 -0.31782544 95% 2
#> 96 -0.4333463 -0.3780571 -0.4066025 -0.5315724 -0.27348945 95% 2
#> 97 -0.3560061 -0.2930784 -0.3174384 -0.4402447 -0.17955722 95% 2
#> 98 -0.3494827 -0.2854363 -0.3202292 -0.4404928 -0.19744415 95% 2
#> 99 -0.3445630 -0.2800004 -0.3116684 -0.4437994 -0.19177961 95% 2
#> 100 -0.3379667 -0.2726283 -0.3020679 -0.4143194 -0.17884990 95% 2
#> 101 -0.3289917 -0.2591347 -0.2906891 -0.4110876 -0.17196820 95% 2
#> 102 -0.2767580 -0.1909829 -0.2364904 -0.3470988 -0.11711007 95% 2
#> 103 -0.2531401 -0.1585742 -0.2036956 -0.3358682 -0.08122514 95% 2
#> 104 -0.2260159 -0.1177119 -0.1720438 -0.2950304 -0.05462769 95% 2
#> obs_in_PI
#> 1 TRUE
#> 2 TRUE
#> 3 TRUE
#> 4 TRUE
#> 5 TRUE
#> 6 TRUE
#> 7 TRUE
#> 8 TRUE
#> 9 TRUE
#> 10 TRUE
#> 11 TRUE
#> 12 TRUE
#> 13 TRUE
#> 14 TRUE
#> 15 TRUE
#> 16 TRUE
#> 17 TRUE
#> 18 TRUE
#> 19 TRUE
#> 20 TRUE
#> 21 TRUE
#> 22 TRUE
#> 23 TRUE
#> 24 TRUE
#> 25 TRUE
#> 26 TRUE
#> 27 TRUE
#> 28 TRUE
#> 29 TRUE
#> 30 TRUE
#> 31 TRUE
#> 32 TRUE
#> 33 TRUE
#> 34 TRUE
#> 35 TRUE
#> 36 TRUE
#> 37 TRUE
#> 38 TRUE
#> 39 TRUE
#> 40 TRUE
#> 41 TRUE
#> 42 TRUE
#> 43 TRUE
#> 44 TRUE
#> 45 TRUE
#> 46 TRUE
#> 47 TRUE
#> 48 TRUE
#> 49 TRUE
#> 50 TRUE
#> 51 TRUE
#> 52 TRUE
#> 53 TRUE
#> 54 TRUE
#> 55 TRUE
#> 56 TRUE
#> 57 TRUE
#> 58 TRUE
#> 59 TRUE
#> 60 TRUE
#> 61 TRUE
#> 62 TRUE
#> 63 TRUE
#> 64 TRUE
#> 65 TRUE
#> 66 TRUE
#> 67 TRUE
#> 68 TRUE
#> 69 TRUE
#> 70 TRUE
#> 71 TRUE
#> 72 TRUE
#> 73 TRUE
#> 74 TRUE
#> 75 TRUE
#> 76 TRUE
#> 77 TRUE
#> 78 TRUE
#> 79 TRUE
#> 80 TRUE
#> 81 TRUE
#> 82 TRUE
#> 83 TRUE
#> 84 TRUE
#> 85 TRUE
#> 86 TRUE
#> 87 TRUE
#> 88 TRUE
#> 89 TRUE
#> 90 TRUE
#> 91 TRUE
#> 92 TRUE
#> 93 TRUE
#> 94 TRUE
#> 95 TRUE
#> 96 TRUE
#> 97 TRUE
#> 98 TRUE
#> 99 TRUE
#> 100 TRUE
#> 101 TRUE
#> 102 TRUE
#> 103 TRUE
#> 104 TRUE
#>
#> $total_coverage
#> [1] 1
#>
#> $prediction_interval_size
#> # A tibble: 1 × 2
#> SiteName PI_width
#> <fct> <dbl>
#> 1 "Cedar Island,\n North Carolina" -0.250
#>
#> $coverage_by_site
#> # A tibble: 1 × 2
#> SiteName coverage_by_site
#> <fct> <dbl>
#> 1 "Cedar Island,\n North Carolina" 1
#>
# }