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, ...)

Arguments

data

dataframe. All the variables in data will be used to predict y_col. To exclude any variables, assign as data only the subset of variables desired.

y_col

character(1). Name of the y outcome variable.

...

Arguments passed on to mgcv::gam().

Value

Returns an mgcv::gam object, the result of predicting y_col from all other variables in data.

Examples

autogam(mtcars, 'mpg')


[Package autogam version 0.0.1 Index]