Checks if model is a null-model (intercept-only)
Checks if model is a null-model (intercept-only), i.e. if the conditional part of the model has no predictors.
is_nullmodel(x)
x |
A model object. |
TRUE if x is a null-model, FALSE otherwise.
model <- lm(mpg ~ 1, data = mtcars)
is_nullmodel(model)
model <- lm(mpg ~ gear, data = mtcars)
is_nullmodel(model)
if (require("lme4")) {
model <- lmer(Reaction ~ 1 + (Days | Subject), data = sleepstudy)
is_nullmodel(model)
model <- lmer(Reaction ~ Days + (Days | Subject), data = sleepstudy)
is_nullmodel(model)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.