performance (version 0.2.0)

model_performance.stanreg: Performance of Bayesian Models

Description

Compute indices of model performance for (general) linear models.

Usage

# S3 method for stanreg
model_performance(model, metrics = "all", ...)

Arguments

model

Object of class stanreg or brmsfit.

metrics

Can be "all" or a character vector of metrics to be computed (some of c("LOOIC", "WAIC", "R2", "R2_adj", "RMSE", "LOGLOSS", "SCORE")).

...

Arguments passed to or from other methods.

Value

A data frame (with one row) and one column per "index" (see metrics).

Details

See 'Details' in model_performance.lm for more details on returned indices.

References

Gelman, A., Goodrich, B., Gabry, J., & Vehtari, A. (2018). R-squared for Bayesian regression models. The American Statistician, The American Statistician, 1-6.

See Also

r2_bayes

Examples

# NOT RUN {
library(rstanarm)

model <- stan_glm(mpg ~ wt + cyl, data = mtcars, chains = 1, iter = 500)
model_performance(model)

model <- stan_glmer(
  mpg ~ wt + cyl + (1 | gear),
  data = mtcars,
  chains = 1,
  iter = 500
)
model_performance(model)

# }