PA ~ RE * Lockdown
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ roaming_entropy * lockdown + dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 7600 -14862.26 29762.52 4220(25554) 8.90e-03 6.9e+02
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.39 1.179
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## roaming_entropy 0.05323 0.02966 1.795 0.072724 .
## lockdown -0.63438 0.09120 -6.956 3.50e-12 ***
## dowMonday -0.25323 0.07731 -3.276 0.001054 **
## dowSaturday 0.34511 0.08156 4.231 2.32e-05 ***
## dowSunday 0.08592 0.08117 1.058 0.289849
## dowThursday -0.26915 0.07667 -3.511 0.000447 ***
## dowTuesday -0.51081 0.07596 -6.725 1.76e-11 ***
## dowWednesday -0.29746 0.07884 -3.773 0.000161 ***
## roaming_entropy:lockdown 0.08498 0.05580 1.523 0.127799
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -4.1888 0.1387 -30.204
## (10,20]|(20,30] -3.3243 0.1306 -25.455
## (20,30]|(30,40] -2.4679 0.1265 -19.510
## (30,40]|(40,50] -1.6002 0.1245 -12.858
## (40,50]|(50,60] -0.6427 0.1234 -5.209
## (50,60]|(60,70] 0.5949 0.1233 4.823
## (60,70]|(70,80] 1.5644 0.1248 12.537
## (70,80]|(80,90] 2.6631 0.1289 20.663
## (80,90]|(90,100] 4.0057 0.1425 28.108
## (20810 observations deleted due to missingness)
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ roaming_entropy * who_lockdown + dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 8308 -16249.56 32537.12 4278(21866) 9.87e-03 1.0e+03
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.359 1.166
## Number of groups: subject 236
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## roaming_entropy 0.12437 0.03911 3.180 0.001471 **
## who_lockdown -0.42120 0.11024 -3.821 0.000133 ***
## dowMonday -0.23555 0.07373 -3.195 0.001399 **
## dowSaturday 0.30957 0.07785 3.976 7.00e-05 ***
## dowSunday 0.13724 0.07760 1.769 0.076957 .
## dowThursday -0.29237 0.07329 -3.989 6.63e-05 ***
## dowTuesday -0.47868 0.07300 -6.558 5.47e-11 ***
## dowWednesday -0.21529 0.07480 -2.878 0.003999 **
## roaming_entropy:who_lockdown 0.16380 0.04812 3.404 0.000663 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.9592 0.1546 -25.609
## (10,20]|(20,30] -3.0851 0.1478 -20.872
## (20,30]|(30,40] -2.2447 0.1445 -15.529
## (30,40]|(40,50] -1.3707 0.1429 -9.592
## (40,50]|(50,60] -0.4242 0.1422 -2.984
## (50,60]|(60,70] 0.8240 0.1424 5.784
## (60,70]|(70,80] 1.7983 0.1439 12.500
## (70,80]|(80,90] 2.8832 0.1473 19.571
## (80,90]|(90,100] 4.2323 0.1588 26.646
## (20102 observations deleted due to missingness)
PA ~ NL * Lockdown
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ novel_locations * lockdown + dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 7382 -14399.39 28836.78 2613(15958) 4.24e-01 6.5e+05
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.394 1.18
## Number of groups: subject 235
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## novel_locations 0.0035726 0.0004885 7.313 2.60e-13 ***
## lockdown -0.4888271 0.0554096 -8.822 < 2e-16 ***
## dowMonday -0.2028731 0.0793864 -2.556 0.01060 *
## dowSaturday 0.3277272 0.0825058 3.972 7.12e-05 ***
## dowSunday 0.0870023 0.0816766 1.065 0.28678
## dowThursday -0.2503839 0.0783401 -3.196 0.00139 **
## dowTuesday -0.4681178 0.0778627 -6.012 1.83e-09 ***
## dowWednesday -0.2512366 0.0811878 -3.095 0.00197 **
## novel_locations:lockdown -0.0014190 0.0011371 -1.248 0.21207
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -4.1354 0.1229 -33.646
## (10,20]|(20,30] -3.2735 0.1134 -28.867
## (20,30]|(30,40] -2.4087 0.1085 -22.201
## (30,40]|(40,50] -1.5348 0.1060 -14.480
## (40,50]|(50,60] -0.5731 0.1047 -5.473
## (50,60]|(60,70] 0.6720 0.1048 6.410
## (60,70]|(70,80] 1.6561 0.1067 15.517
## (70,80]|(80,90] 2.7501 0.1117 24.614
## (80,90]|(90,100] 4.0999 0.1277 32.095
## (21028 observations deleted due to missingness)
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ novel_locations * who_lockdown + dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 8086 -15775.64 31589.27 2660(16141) 8.34e-01 1.1e+06
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.361 1.167
## Number of groups: subject 236
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## novel_locations 0.0063522 0.0006263 10.142 < 2e-16 ***
## who_lockdown -0.2014057 0.0549524 -3.665 0.000247 ***
## dowMonday -0.2491418 0.0752903 -3.309 0.000936 ***
## dowSaturday 0.2118103 0.0784024 2.702 0.006901 **
## dowSunday 0.1085526 0.0777836 1.396 0.162843
## dowThursday -0.2871367 0.0748445 -3.836 0.000125 ***
## dowTuesday -0.4417880 0.0747108 -5.913 0.00000000335 ***
## dowWednesday -0.1591567 0.0771397 -2.063 0.039091 *
## novel_locations:who_lockdown -0.0027363 0.0007858 -3.482 0.000497 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.9705 0.1220 -32.540
## (10,20]|(20,30] -3.0987 0.1131 -27.409
## (20,30]|(30,40] -2.2538 0.1087 -20.740
## (30,40]|(40,50] -1.3759 0.1064 -12.932
## (40,50]|(50,60] -0.4265 0.1053 -4.048
## (50,60]|(60,70] 0.8308 0.1057 7.860
## (60,70]|(70,80] 1.8209 0.1077 16.911
## (70,80]|(80,90] 2.9035 0.1125 25.819
## (80,90]|(90,100] 4.2584 0.1276 33.361
## (20324 observations deleted due to missingness)
WHO Test
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ roaming_entropy + dow + (1 | subject)
## data: who_differences_na
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 584 -1106.26 2246.53 2086(8089) 3.58e-04 3.0e+02
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.248 1.117
## Number of groups: subject 74
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## roaming_entropy 0.38962 0.08583 4.540 0.00000564 ***
## dowMonday -0.25060 0.27066 -0.926 0.3545
## dowSaturday 0.31488 0.29045 1.084 0.2783
## dowSunday 0.15716 0.28966 0.543 0.5874
## dowThursday -0.52541 0.27824 -1.888 0.0590 .
## dowTuesday -0.17320 0.29186 -0.593 0.5529
## dowWednesday 0.45302 0.25754 1.759 0.0786 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.6738 0.3770 -9.744
## (10,20]|(20,30] -2.5594 0.3223 -7.942
## (20,30]|(30,40] -1.8328 0.3062 -5.987
## (30,40]|(40,50] -0.7472 0.2947 -2.535
## (40,50]|(50,60] 0.2171 0.2923 0.743
## (50,60]|(60,70] 1.7424 0.3002 5.804
## (60,70]|(70,80] 2.9265 0.3185 9.187
## (70,80]|(80,90] 3.9751 0.3559 11.170
## (80,90]|(90,100] 5.4573 0.4901 11.136
## (6916 observations deleted due to missingness)
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ roaming_entropy + dow + (1 | subject)
## data: who_differences_nna
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 3972 -7700.35 15434.71 3569(28447) 3.44e-03 3.9e+02
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 2.098 1.448
## Number of groups: subject 227
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## roaming_entropy 0.28760 0.03488 8.245 < 2e-16 ***
## dowMonday -0.39312 0.10623 -3.701 0.000215 ***
## dowSaturday -0.06999 0.11329 -0.618 0.536737
## dowSunday 0.17143 0.10588 1.619 0.105414
## dowThursday -0.25045 0.10298 -2.432 0.015014 *
## dowTuesday -0.32792 0.10803 -3.036 0.002401 **
## dowWednesday 0.06471 0.10452 0.619 0.535850
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.68266 0.15452 -23.833
## (10,20]|(20,30] -2.84263 0.14378 -19.771
## (20,30]|(30,40] -2.00692 0.13803 -14.540
## (30,40]|(40,50] -1.09530 0.13503 -8.111
## (40,50]|(50,60] -0.06401 0.13392 -0.478
## (50,60]|(60,70] 1.24614 0.13527 9.212
## (60,70]|(70,80] 2.25747 0.13901 16.239
## (70,80]|(80,90] 3.39184 0.14803 22.914
## (80,90]|(90,100] 4.78299 0.17441 27.423
## (7606 observations deleted due to missingness)
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ roaming_entropy * who_diffrences + dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 4556 -8809.76 17657.53 3837(33904) 2.09e-02 4.2e+02
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.992 1.411
## Number of groups: subject 236
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## roaming_entropy 0.29081 0.03474 8.370 < 2e-16 ***
## who_diffrences -0.32143 0.21526 -1.493 0.135373
## dowMonday -0.37978 0.09853 -3.854 0.000116 ***
## dowSaturday -0.03821 0.10499 -0.364 0.715884
## dowSunday 0.17399 0.09911 1.755 0.079184 .
## dowThursday -0.28638 0.09612 -2.979 0.002889 **
## dowTuesday -0.30376 0.10091 -3.010 0.002612 **
## dowWednesday 0.12286 0.09643 1.274 0.202637
## roaming_entropy:who_diffrences 0.12730 0.08525 1.493 0.135370
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.6726 0.1472 -24.955
## (10,20]|(20,30] -2.8032 0.1367 -20.502
## (20,30]|(30,40] -1.9840 0.1316 -15.076
## (30,40]|(40,50] -1.0534 0.1288 -8.176
## (40,50]|(50,60] -0.0352 0.1279 -0.275
## (50,60]|(60,70] 1.2978 0.1293 10.041
## (60,70]|(70,80] 2.3268 0.1328 17.526
## (70,80]|(80,90] 3.4523 0.1412 24.446
## (80,90]|(90,100] 4.8452 0.1665 29.093
## (23854 observations deleted due to missingness)
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ novel_locations + dow + (1 | subject)
## data: who_differences_na
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 584 -1110.13 2254.26 1371(5321) 5.85e-02 5.5e+05
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.321 1.15
## Number of groups: subject 74
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## novel_locations 0.004625 0.001332 3.473 0.000514 ***
## dowMonday -0.327418 0.268563 -1.219 0.222789
## dowSaturday 0.312412 0.290545 1.075 0.282258
## dowSunday 0.135449 0.289075 0.469 0.639385
## dowThursday -0.569077 0.279271 -2.038 0.041577 *
## dowTuesday -0.196041 0.291474 -0.673 0.501212
## dowWednesday 0.474500 0.258437 1.836 0.066352 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -4.0510 0.3646 -11.112
## (10,20]|(20,30] -2.9355 0.3068 -9.568
## (20,30]|(30,40] -2.2112 0.2887 -7.658
## (30,40]|(40,50] -1.1298 0.2744 -4.117
## (40,50]|(50,60] -0.1684 0.2696 -0.625
## (50,60]|(60,70] 1.3440 0.2738 4.909
## (60,70]|(70,80] 2.5226 0.2910 8.667
## (70,80]|(80,90] 3.5693 0.3295 10.831
## (80,90]|(90,100] 5.0440 0.4693 10.749
## (6916 observations deleted due to missingness)
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ novel_locations + dow + (1 | subject)
## data: who_differences_nna
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 3972 -7716.01 15466.01 1945(15345) 3.31e-01 5.2e+05
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 2.083 1.443
## Number of groups: subject 227
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## novel_locations 0.0033972 0.0005717 5.942 0.00000000282 ***
## dowMonday -0.4391991 0.1058907 -4.148 0.00003358861 ***
## dowSaturday -0.0845608 0.1131711 -0.747 0.45495
## dowSunday 0.1524775 0.1057810 1.441 0.14946
## dowThursday -0.2704605 0.1029652 -2.627 0.00862 **
## dowTuesday -0.3421080 0.1078030 -3.173 0.00151 **
## dowWednesday 0.0494367 0.1045679 0.473 0.63638
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.9105 0.1501 -26.057
## (10,20]|(20,30] -3.0724 0.1389 -22.123
## (20,30]|(30,40] -2.2390 0.1327 -16.871
## (30,40]|(40,50] -1.3307 0.1293 -10.291
## (40,50]|(50,60] -0.3038 0.1278 -2.377
## (50,60]|(60,70] 1.0017 0.1287 7.782
## (60,70]|(70,80] 2.0085 0.1322 15.190
## (70,80]|(80,90] 3.1355 0.1411 22.222
## (80,90]|(90,100] 4.5199 0.1681 26.894
## (7606 observations deleted due to missingness)
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ novel_locations * who_diffrences + dow + (1 | subject)
## data: df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 4556 -8831.53 17701.06 2717(21849) 4.73e+00 1.3e+05
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.976 1.406
## Number of groups: subject 236
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## novel_locations 0.0034255 0.0005451 6.284 3.3e-10 ***
## who_diffrences -0.1817732 0.1749144 -1.039 0.299
## dowMonday -0.4348145 0.0064500 -67.413 < 2e-16 ***
## dowSaturday -0.0538739 0.0062938 -8.560 < 2e-16 ***
## dowSunday 0.1537517 0.0064354 23.892 < 2e-16 ***
## dowThursday -0.3107381 0.0062818 -49.466 < 2e-16 ***
## dowTuesday -0.3201337 0.0063929 -50.076 < 2e-16 ***
## dowWednesday 0.1143593 0.0063612 17.978 < 2e-16 ***
## novel_locations:who_diffrences 0.0016600 0.0013457 1.234 0.217
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.891089 0.005616 -692.843
## (10,20]|(20,30] -3.024021 0.005822 -519.446
## (20,30]|(30,40] -2.208123 0.006011 -367.370
## (30,40]|(40,50] -1.281966 0.005920 -216.546
## (40,50]|(50,60] -0.268846 0.032582 -8.251
## (50,60]|(60,70] 1.056917 0.046107 22.923
## (60,70]|(70,80] 2.080330 0.057731 36.035
## (70,80]|(80,90] 3.198092 0.076056 42.049
## (80,90]|(90,100] 4.583399 0.116311 39.406
## (23854 observations deleted due to missingness)
PA ~ RE * Pre_COVID_RE Post-Lockdown
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ roaming_entropy * pre_covid_re_standard + dow + (1 |
## subject)
## data: lockdown_df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 2896 -5555.21 11148.43 3643(35228) 4.54e-03 2.0e+04
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 2.486 1.577
## Number of groups: subject 208
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## roaming_entropy -0.11480 0.39035 -0.294 0.7687
## pre_covid_re_standard 0.20696 0.32185 0.643 0.5202
## dowMonday -0.20720 0.12443 -1.665 0.0959 .
## dowSaturday 0.18227 0.12908 1.412 0.1579
## dowSunday 0.30450 0.13417 2.270 0.0232 *
## dowThursday -0.06212 0.12506 -0.497 0.6194
## dowTuesday 0.02033 0.13209 0.154 0.8777
## dowWednesday -0.02601 0.13167 -0.198 0.8434
## roaming_entropy:pre_covid_re_standard 0.13971 0.14899 0.938 0.3484
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.0856 0.8324 -3.707
## (10,20]|(20,30] -2.1740 0.8303 -2.618
## (20,30]|(30,40] -1.2995 0.8294 -1.567
## (30,40]|(40,50] -0.3903 0.8292 -0.471
## (40,50]|(50,60] 0.7151 0.8293 0.862
## (50,60]|(60,70] 2.0965 0.8297 2.527
## (60,70]|(70,80] 3.1832 0.8309 3.831
## (70,80]|(80,90] 4.3830 0.8340 5.255
## (80,90]|(90,100] 5.7626 0.8432 6.835
## (6179 observations deleted due to missingness)
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ roaming_entropy * pre_covid_re_standard + dow + (1 |
## subject)
## data: lockdown_df_WHO
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 4556 -8810.66 17659.32 3901(33314) 3.24e-02 3.9e+04
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.992 1.411
## Number of groups: subject 236
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## roaming_entropy 0.43947 0.22700 1.936 0.052868 .
## pre_covid_re_standard 0.22576 0.26555 0.850 0.395242
## dowMonday -0.37982 0.09853 -3.855 0.000116 ***
## dowSaturday -0.03914 0.10498 -0.373 0.709314
## dowSunday 0.17531 0.09905 1.770 0.076759 .
## dowThursday -0.28437 0.09610 -2.959 0.003085 **
## dowTuesday -0.30377 0.10087 -3.012 0.002599 **
## dowWednesday 0.12392 0.09642 1.285 0.198695
## roaming_entropy:pre_covid_re_standard -0.05067 0.08757 -0.579 0.562794
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -3.0613 0.6819 -4.489
## (10,20]|(20,30] -2.1914 0.6800 -3.223
## (20,30]|(30,40] -1.3722 0.6792 -2.020
## (30,40]|(40,50] -0.4419 0.6790 -0.651
## (40,50]|(50,60] 0.5759 0.6790 0.848
## (50,60]|(60,70] 1.9081 0.6795 2.808
## (60,70]|(70,80] 2.9368 0.6802 4.317
## (70,80]|(80,90] 4.0625 0.6821 5.956
## (80,90]|(90,100] 5.4562 0.6878 7.933
## (14522 observations deleted due to missingness)
## df BIC
## PA_RE_PreLDRE_PostLD 19 11261.88
## PA_RE_PreLDRE_PostLD_WHO 19 17781.37
PA ~ NL * Pre_COVID_RE Post-Lockdown
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ novel_locations * pre_covid_re_standard + dow + (1 |
## subject)
## data: lockdown_df
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 2896 -5559.28 11156.56 2113(20672) 4.45e-01 3.7e+07
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 2.47 1.572
## Number of groups: subject 208
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## novel_locations 0.0014339 0.0098163 0.146 0.8839
## pre_covid_re_standard 0.3262305 0.3056702 1.067 0.2859
## dowMonday -0.2130772 0.1244707 -1.712 0.0869 .
## dowSaturday 0.1927633 0.1292140 1.492 0.1357
## dowSunday 0.3051719 0.1342075 2.274 0.0230 *
## dowThursday -0.0604791 0.1252263 -0.483 0.6291
## dowTuesday 0.0243501 0.1320179 0.184 0.8537
## dowWednesday -0.0351099 0.1316591 -0.267 0.7897
## novel_locations:pre_covid_re_standard 0.0009939 0.0036795 0.270 0.7871
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -2.9174 0.7931 -3.678
## (10,20]|(20,30] -2.0065 0.7909 -2.537
## (20,30]|(30,40] -1.1334 0.7899 -1.435
## (30,40]|(40,50] -0.2254 0.7897 -0.285
## (40,50]|(50,60] 0.8776 0.7899 1.111
## (50,60]|(60,70] 2.2571 0.7905 2.855
## (60,70]|(70,80] 3.3433 0.7918 4.223
## (70,80]|(80,90] 4.5402 0.7950 5.711
## (80,90]|(90,100] 5.9158 0.8046 7.352
## (6179 observations deleted due to missingness)
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ novel_locations * pre_covid_re_standard + dow + (1 |
## subject)
## data: lockdown_df_WHO
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 4556 -8992.09 18022.18 796(3982) 4.66e+02 8.2e+07
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1 1
## Number of groups: subject 236
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## novel_locations 0.011808 0.003854 3.063 0.002188 **
## pre_covid_re_standard 0.217016 0.187039 1.160 0.245940
## dowMonday -0.335628 0.092787 -3.617 0.000298 ***
## dowSaturday -0.024059 0.099136 -0.243 0.808245
## dowSunday 0.141300 0.093375 1.513 0.130217
## dowThursday -0.225950 0.090909 -2.485 0.012938 *
## dowTuesday -0.262612 0.095301 -2.756 0.005858 **
## dowWednesday 0.129391 0.091048 1.421 0.155278
## novel_locations:pre_covid_re_standard -0.003377 0.001445 -2.337 0.019464 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -2.5342 0.4841 -5.234
## (10,20]|(20,30] -1.7902 0.4821 -3.713
## (20,30]|(30,40] -1.1158 0.4813 -2.318
## (30,40]|(40,50] -0.3767 0.4810 -0.783
## (40,50]|(50,60] 0.4087 0.4810 0.850
## (50,60]|(60,70] 1.4128 0.4813 2.935
## (60,70]|(70,80] 2.1835 0.4819 4.531
## (70,80]|(80,90] 3.0537 0.4833 6.319
## (80,90]|(90,100] 4.1387 0.4879 8.482
## (14522 observations deleted due to missingness)
## df BIC
## PA_RE_PreLDNL_PostLD 19 11270.01
## PA_RE_PreLDNL_PostLD_WHO 19 18144.24
Z Notch Analysis
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula:
## PA_avg ~ bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1) *
## lockdown + distance + dow + (1 | subject)
## data: distance_less_than_100_km
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 7007 -13586.72 27221.45 4157(22541) 7.56e-02 2.4e+06
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.477 1.215
## Number of groups: subject 234
##
## Coefficients:
## Estimate
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)1 -0.033820
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)2 -0.113327
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)3 2.078971
## lockdown -0.690973
## distance 0.004017
## dowMonday -0.205627
## dowSaturday 0.323734
## dowSunday 0.110582
## dowThursday -0.218383
## dowTuesday -0.416789
## dowWednesday -0.281264
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)1:lockdown 0.125222
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)2:lockdown 0.389229
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)3:lockdown -3.504586
## Std. Error
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)1 0.439941
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)2 0.404706
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)3 0.714466
## lockdown 0.469014
## distance 0.001976
## dowMonday 0.081510
## dowSaturday 0.086093
## dowSunday 0.085305
## dowThursday 0.080537
## dowTuesday 0.080161
## dowWednesday 0.083488
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)1:lockdown 0.518167
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)2:lockdown 0.470440
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)3:lockdown 1.372747
## z value
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)1 -0.077
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)2 -0.280
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)3 2.910
## lockdown -1.473
## distance 2.033
## dowMonday -2.523
## dowSaturday 3.760
## dowSunday 1.296
## dowThursday -2.712
## dowTuesday -5.199
## dowWednesday -3.369
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)1:lockdown 0.242
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)2:lockdown 0.827
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)3:lockdown -2.553
## Pr(>|z|)
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)1 0.938725
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)2 0.779459
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)3 0.003616
## lockdown 0.140685
## distance 0.042052
## dowMonday 0.011645
## dowSaturday 0.000170
## dowSunday 0.194869
## dowThursday 0.006696
## dowTuesday 0.0000002
## dowWednesday 0.000755
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)1:lockdown 0.809040
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)2:lockdown 0.408025
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)3:lockdown 0.010681
##
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)1
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)2
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)3 **
## lockdown
## distance *
## dowMonday *
## dowSaturday ***
## dowSunday
## dowThursday **
## dowTuesday ***
## dowWednesday ***
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)1:lockdown
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)2:lockdown
## bs(within_subjects_z_NL, knots = c(-0.725, -0.3), degree = 1)3:lockdown *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -4.2669 0.4208 -10.139
## (10,20]|(20,30] -3.3724 0.4179 -8.071
## (20,30]|(30,40] -2.4867 0.4164 -5.973
## (30,40]|(40,50] -1.6031 0.4156 -3.857
## (40,50]|(50,60] -0.6315 0.4153 -1.520
## (50,60]|(60,70] 0.6406 0.4153 1.542
## (60,70]|(70,80] 1.6517 0.4157 3.973
## (70,80]|(80,90] 2.7684 0.4172 6.636
## (80,90]|(90,100] 4.1618 0.4226 9.848
## (13899 observations deleted due to missingness)
## Cumulative Link Mixed Model fitted with the Laplace approximation
##
## formula: PA_avg ~ bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3),
## degree = 1) * lockdown + distance + dow + (1 | subject)
## data: distance_less_than_100_km
##
## link threshold nobs logLik AIC niter max.grad cond.H
## logit flexible 7007 -13583.00 27213.99 3935(20890) 1.23e-02 1.8e+06
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 1.483 1.218
## Number of groups: subject 234
##
## Coefficients:
## Estimate
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)1 0.196517
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)2 0.115483
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)3 1.897332
## lockdown -0.535479
## distance 0.001757
## dowMonday -0.197743
## dowSaturday 0.326956
## dowSunday 0.122100
## dowThursday -0.212228
## dowTuesday -0.407434
## dowWednesday -0.271811
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)1:lockdown -0.002251
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)2:lockdown 0.321961
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)3:lockdown -2.309166
## Std. Error
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)1 0.409355
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)2 0.364283
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)3 0.554655
## lockdown 0.413899
## distance 0.002145
## dowMonday 0.081537
## dowSaturday 0.086065
## dowSunday 0.085338
## dowThursday 0.080584
## dowTuesday 0.080203
## dowWednesday 0.083567
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)1:lockdown 0.471936
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)2:lockdown 0.417270
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)3:lockdown 0.800024
## z value
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)1 0.480
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)2 0.317
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)3 3.421
## lockdown -1.294
## distance 0.819
## dowMonday -2.425
## dowSaturday 3.799
## dowSunday 1.431
## dowThursday -2.634
## dowTuesday -5.080
## dowWednesday -3.253
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)1:lockdown -0.005
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)2:lockdown 0.772
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)3:lockdown -2.886
## Pr(>|z|)
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)1 0.631181
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)2 0.751232
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)3 0.000625
## lockdown 0.195754
## distance 0.412719
## dowMonday 0.015300
## dowSaturday 0.000145
## dowSunday 0.152494
## dowThursday 0.008448
## dowTuesday 0.000000377
## dowWednesday 0.001144
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)1:lockdown 0.996195
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)2:lockdown 0.440359
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)3:lockdown 0.003897
##
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)1
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)2
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)3 ***
## lockdown
## distance
## dowMonday *
## dowSaturday ***
## dowSunday
## dowThursday **
## dowTuesday ***
## dowWednesday **
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)1:lockdown
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)2:lockdown
## bs(within_subjects_z_NL_new, knots = c(-0.725, -0.3), degree = 1)3:lockdown **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Threshold coefficients:
## Estimate Std. Error z value
## [0,10]|(10,20] -4.0268 0.3834 -10.504
## (10,20]|(20,30] -3.1316 0.3802 -8.237
## (20,30]|(30,40] -2.2447 0.3788 -5.926
## (30,40]|(40,50] -1.3603 0.3783 -3.596
## (40,50]|(50,60] -0.3885 0.3780 -1.028
## (50,60]|(60,70] 0.8844 0.3780 2.340
## (60,70]|(70,80] 1.8963 0.3785 5.010
## (70,80]|(80,90] 3.0134 0.3803 7.924
## (80,90]|(90,100] 4.4068 0.3865 11.402
## (13899 observations deleted due to missingness)
## df BIC
## Z_within_sub 24 27385.96
## Z_within_sub_new 24 27378.51
Delta Models
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: roaming_entropy ~ NL_delta + (1 | subject)
## Data: df
##
## REML criterion at convergence: 62467.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.4714 -0.7553 -0.0715 0.7891 8.0836
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.1229 0.3505
## Residual 0.9409 0.9700
## Number of obs: 22269, groups: subject, 236
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1.7547192 0.0237602 235.3754025 73.85 <2e-16 ***
## NL_delta 0.0075909 0.0001154 22040.9221838 65.75 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## NL_delta -0.002
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: roaming_entropy ~ Nl_delta_log + (1 | subject)
## Data: df
##
## REML criterion at convergence: 61680.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7838 -0.7759 -0.0639 0.7863 5.6176
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.1219 0.3492
## Residual 0.9083 0.9530
## Number of obs: 22269, groups: subject, 236
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1.746632 0.023644 235.250818 73.87 <2e-16 ***
## Nl_delta_log 0.370446 0.005102 22040.309908 72.61 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Nl_delta_lg -0.006
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: roaming_entropy ~ NL_delta + (1 | subject)
## Data: prelockdown_df
##
## REML criterion at convergence: 26363.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.6075 -0.5582 0.1520 0.6628 8.4749
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.1222 0.3496
## Residual 0.5975 0.7730
## Number of obs: 11104, groups: subject, 236
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.3519372 0.0240362 232.7417983 97.85 <2e-16 ***
## NL_delta 0.0069010 0.0001194 10879.7923692 57.81 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## NL_delta 0.002
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: roaming_entropy ~ Nl_delta_log + (1 | subject)
## Data: prelockdown_df
##
## REML criterion at convergence: 24880.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.2180 -0.5675 0.1373 0.6655 4.8062
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.1244 0.3527
## Residual 0.5217 0.7223
## Number of obs: 11104, groups: subject, 236
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.340173 0.024078 233.231398 97.19 <2e-16 ***
## Nl_delta_log 0.491794 0.006688 10881.761371 73.53 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Nl_delta_lg -0.005
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: roaming_entropy ~ NL_delta + (1 | subject)
## Data: lockdown_df
##
## REML criterion at convergence: 16975.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.0519 -0.6796 -0.0112 0.5865 12.4379
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.2791 0.5283
## Residual 0.3498 0.5915
## Number of obs: 9075, groups: subject, 215
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1.071268 0.036902 167.812541 29.03 <2e-16 ***
## NL_delta 0.009901 0.000143 8864.122381 69.24 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## NL_delta -0.001
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: roaming_entropy ~ Nl_delta_log + (1 | subject)
## Data: lockdown_df
##
## REML criterion at convergence: 16853.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.7594 -0.6483 -0.0824 0.5622 10.3175
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.2276 0.4771
## Residual 0.3469 0.5890
## Number of obs: 9075, groups: subject, 215
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1.054003 0.033468 192.252921 31.49 <2e-16 ***
## Nl_delta_log 0.303284 0.004312 8850.608231 70.34 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## Nl_delta_lg -0.008
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: roaming_entropy ~ lockdown * NL_delta + (1 | subject)
## Data: df
##
## REML criterion at convergence: 45046.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.7903 -0.6308 0.0680 0.6329 9.9971
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.1148 0.3387
## Residual 0.5264 0.7256
## Number of obs: 20179, groups: subject, 236
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.3500150 0.0232003 253.4569391 101.29 <2e-16
## lockdown -1.2888338 0.0106302 20116.3065502 -121.24 <2e-16
## NL_delta 0.0069236 0.0001120 19951.5878799 61.84 <2e-16
## lockdown:NL_delta 0.0029065 0.0002072 19954.1378571 14.03 <2e-16
##
## (Intercept) ***
## lockdown ***
## NL_delta ***
## lockdown:NL_delta ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) lckdwn NL_dlt
## lockdown -0.189
## NL_delta 0.002 -0.008
## lckdwn:NL_d -0.001 -0.009 -0.540
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: roaming_entropy ~ lockdown * Nl_delta_log + (1 | subject)
## Data: df
##
## REML criterion at convergence: 43361.2
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.6669 -0.6236 0.0276 0.6413 8.9490
##
## Random effects:
## Groups Name Variance Std.Dev.
## subject (Intercept) 0.1149 0.3390
## Residual 0.4842 0.6958
## Number of obs: 20179, groups: subject, 236
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.338041 0.023128 251.775412 101.09 <2e-16
## lockdown -1.283214 0.010198 20107.407318 -125.83 <2e-16
## Nl_delta_log 0.490558 0.006437 19955.476389 76.21 <2e-16
## lockdown:Nl_delta_log -0.188019 0.008203 19953.684967 -22.92 <2e-16
##
## (Intercept) ***
## lockdown ***
## Nl_delta_log ***
## lockdown:Nl_delta_log ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) lckdwn Nl_dl_
## lockdown -0.182
## Nl_delta_lg -0.005 0.007
## lckdwn:Nl__ 0.004 -0.020 -0.785
## df BIC
## RE_Delta 4 62507.45
## RE_Delta_Log 4 61720.17
## RE_Delta_PreLD 4 26400.70
## RE_Delta_Log_PreLD 4 24918.19
## RE_Delta_LD 4 17012.35
## RE_Delta_Log_LD 4 16890.17
## RE_LD_Delta 6 45105.82
## RE_LD_Delta_Log 6 43420.71