autogam {autogam} | R Documentation |
Automate the creation of a Generalized Additive Model (GAM)
Description
autogam()
is a wrapper for 'mgcv::gam()' that makes it easier to create high-performing Generalized Additive Models (GAMs). By entering just a dataset and the name of the outcome column as inputs, autogam()
tries to automate the procedure of configuring a highly accurate GAM which performs at reasonably high speed, even for large datasets.
Usage
autogam(data, y_col, ..., bs = "cr")
Arguments
data |
dataframe. All the variables in |
y_col |
character(1). Name of the y outcome variable. |
... |
Arguments passed on to |
bs |
character(1). The default basis function for GAM smooths. See |
Value
Returns an mgcv::gam
object, the result of predicting y_col
from all other variables in data
.
Examples
autogam(mtcars, 'mpg')