Predictor subset 1 (AIC)

Predictor subset 2 (AIC)

Minimal AIC

P


Base (20390.414)

subRVIS (20373.159)

subRVIS

0.0002

Base (20390.414)

subGERP (20370.726)

subGERP

5.3 × 10^{–5}

subGERP (20370.726)

subRVIS (20373.159)

subGERP

0.296

subGERP (20370.726)

subRVIS + subGERP (20359.652)

subRVIS + subGERP

0.004

subRVIS (20373.159)

subRVIS + subGERP (20359.652)

subRVIS + subGERP

0.001

 This table contains the AIC comparisons between different sets of predictors. All models contain the mutation rate as a covariate (Methods). Entries labeled ‘base’ indicate models using only the mutation rate and no other predictors. P is the probability that the model with the larger AIC minimizes the information loss from the model with the lower AIC