print_dims: Print dimensions of log-likelihood or log-weights matrix

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

Print dimensions of log-likelihood or log-weights matrix

Description

Print dimensions of log-likelihood or log-weights matrix

Usage

print_dims(x, ...)

## S3 method for class 'importance_sampling'
print_dims(x, ...)

## S3 method for class 'psis_loo'
print_dims(x, ...)

## S3 method for class 'importance_sampling_loo'
print_dims(x, ...)

## S3 method for class 'waic'
print_dims(x, ...)

## S3 method for class 'kfold'
print_dims(x, ...)

## S3 method for class 'psis_loo_ss'
print_dims(x, ...)

Arguments

x	The object returned by psis(), loo(), or waic().
...	Ignored.

jgabry/loo documentation built on April 19, 2024, 4:08 a.m.