R: Compute a LOO-adjusted R-squared for regression models

loo_R2.brmsfit {brms}

R Documentation

Compute a LOO-adjusted R-squared for regression models

Description

Compute a LOO-adjusted R-squared for regression models

Usage

## S3 method for class 'brmsfit'
loo_R2(object, resp = NULL, ...)

Arguments

`object`	An object of class `brmsfit`.
`resp`	Optional names of response variables. If specified, predictions are performed only for the specified response variables.
`...`	Further arguments passed to `fitted` and `log_lik`, which are used in the computation of the R-squared values.

Value

A real value per response variable indicating the LOO-adjusted R-squared.

Examples

## Not run: 
fit <- brm(mpg ~ wt + cyl, data = mtcars)
summary(fit)
loo_R2(fit)

# compute R2 with new data
nd <- data.frame(mpg = c(10, 20, 30), wt = c(4, 3, 2), cyl = c(8, 6, 4))
loo_R2(fit, newdata = nd)

## End(Not run)

[Package brms version 2.6.0 Index]