performance (version 0.2.0)

model_performance.merMod: Performance of Mixed Models

Description

Compute indices of model performance for mixed models.

Usage

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

Arguments

model

Object of class merMod, glmmTMB, lme or MixMod.

metrics

Can be "all" or a character vector of metrics to be computed (some of c("AIC", "BIC", "R2", "ICC", "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

This method returns the adjusted ICC only, as this is typically of interest when judging the variance attributed to the random effects part of the model (see also icc).

Furthermore, see 'Details' in model_performance.lm for more details on returned indices.

Examples

# NOT RUN {
library(lme4)
model <- lmer(Petal.Length ~ Sepal.Length + (1 | Species), data = iris)
model_performance(model)

# }