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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