weights.importance_sampling: Extract importance sampling weights

In jgabry/loo: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models

Extract importance sampling weights

Description

Extract importance sampling weights

Usage

## S3 method for class 'importance_sampling'
weights(object, ..., log = TRUE, normalize = TRUE)

Arguments

object	An object returned by psis(), tis(), or sis().
...	Ignored.
log	Should the weights be returned on the log scale? Defaults to TRUE.
normalize	Should the weights be normalized? Defaults to TRUE.

Value

The weights() method returns an object with the same dimensions as the log_weights component of object. The normalize and log arguments control whether the returned weights are normalized and whether or not to return them on the log scale.

Examples

# See the examples at help("psis")

jgabry/loo documentation built on Nov. 26, 2024, 5:29 p.m.