Computes weights proportional to the inverse of each model's goodness-of-
fit criterion (mean squared error or AIC), so that better-fitting models
receive more weight, following Chowell et al. (2021) as adapted in the
manuscript.
Usage
ensemble_weights(crit)
Arguments
crit
Named numeric vector of per-model criterion values (MSE or
AIC; lower is better for both).
