Table 2 Model comparison of Bayesian linear regression
From: Level of M1 GABAB predicts micro offline consolidation of motor learning during wakefulness
Model comparison—LICI | |||||
|---|---|---|---|---|---|
Models | P(M) | P(M|data) | BFM | BF10 | R2 |
Null model | 0.143 | 0.008 | 0.050 | 1.000 | 0.000 |
micro-offline-T | 0.024 | 0.395 | 26.779 | 289.423 | 0.695 |
micro-online-T + micro-offline-T + K1 + K2 + K3 + Block-T | 0.143 | 0.063 | 0.406 | 7.738 | 0.796 |
micro-online-T + micro-offline-T | 0.010 | 0.052 | 5.656 | 94.464 | 0.710 |
micro-offline-T + K3 | 0.010 | 0.044 | 4.790 | 80.631 | 0.702 |
micro-offline-T + K2 | 0.010 | 0.043 | 4.645 | 78.299 | 0.700 |
micro-offline-T + K1 | 0.010 | 0.042 | 4.572 | 77.121 | 0.699 |
micro-offline-T + Block-T | 0.010 | 0.041 | 4.437 | 74.930 | 0.698 |
micro-online-T + micro-offline-T + K1 + K2 + Block-T | 0.024 | 0.019 | 0.790 | 13.848 | 0.780 |
micro-offline-T + K3 + Block-T | 0.007 | 0.018 | 2.551 | 44.002 | 0.733 |
