View source: R/model_weights.R
model_weights.brmsfit | R Documentation |
Compute model weights in various ways, for instance, via stacking of posterior predictive distributions, Akaike weights, or marginal likelihoods.
## S3 method for class 'brmsfit' model_weights(x, ..., weights = "stacking", model_names = NULL) model_weights(x, ...)
x |
A |
... |
More |
weights |
Name of the criterion to compute weights from. Should be one
of |
model_names |
If |
A numeric vector of weights for the models.
## Not run: # model with 'treat' as predictor fit1 <- brm(rating ~ treat + period + carry, data = inhaler) summary(fit1) # model without 'treat' as predictor fit2 <- brm(rating ~ period + carry, data = inhaler) summary(fit2) # obtain Akaike weights based on the WAIC model_weights(fit1, fit2, weights = "waic") ## End(Not run)
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