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]