model_vars | R Documentation |
List the variables involved in a model fitted with a formula
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, ...)
model |
a fitted model object with a |
... |
Arguments passed to other methods. Currently ignored. |
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)
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