insight (version 0.11.0)

has_intercept: Checks if model has an intercept

Description

Checks if model has an intercept.

Usage

has_intercept(x)

Arguments

x

A model object.

Value

TRUE if x has an intercept, FALSE otherwise.

Examples

# NOT RUN {
model <- lm(mpg ~ 0 + gear, data = mtcars)
has_intercept(model)

model <- lm(mpg ~ gear, data = mtcars)
has_intercept(model)

library(lme4)
model <- lmer(Reaction ~ 0 + Days + (Days | Subject), data = sleepstudy)
has_intercept(model)

model <- lmer(Reaction ~ Days + (Days | Subject), data = sleepstudy)
has_intercept(model)
# }

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