Compare multiple model fits on AIC, BIC, log-likelihood and (optional)
LR tests
Usage
model_comparison_table(
models,
nested = FALSE,
digits = 3L,
output_format = "dataframe",
title = "Model Comparison"
)
Arguments
- models
Named list of fitted models.
- nested
If TRUE, run LR tests against the previous model in the list.
- digits
Decimal places.
- output_format
Output target.
- title
Title.
Value
A character string.
Examples
set.seed(1)
df <- data.frame(x = rnorm(30))
df$y <- df$x + rnorm(30)
m1 <- lm(y ~ 1, data = df)
m2 <- lm(y ~ x, data = df)
model_comparison_table(list(null = m1, fit = m2))
#> N df Log.Lik AIC BIC R.sq
#> null 30 2 -48.711 101.423 104.225 0.000
#> fit 30 3 -35.154 76.308 80.511 0.595
