model_vars {gratia}

List the variables involved in a model fitted with a formula

Description

List the variables involved in a model fitted with a formula

Usage

model_vars(model, ...)

## S3 method for class 'gam'
model_vars(model, ...)

## Default S3 method:
model_vars(model, ...)

## S3 method for class 'bam'
model_vars(model, ...)

## S3 method for class 'gamm'
model_vars(model, ...)

## S3 method for class 'gamm4'
model_vars(model, ...)

## S3 method for class 'list'
model_vars(model, ...)

Arguments

model

a fitted model object with a ⁠$pred.formula⁠, ⁠$terms⁠ component or a "terms" attribute

...

Arguments passed to other methods. Currently ignored.

Examples

load_mgcv()

# simulate some Gaussian data
df <- data_sim("eg1", n = 50, seed = 2)

# fit a GAM with 1 smooth and 1 linear term
m1 <- gam(y ~ s(x2, k = 7) + x1, data = df, method = "REML")
model_vars(m1)

# fit a lm with two linear terms
m2 <- lm(y ~ x2 + x1, data = df)
model_vars(m2)