s_POLY: Polynomial Regression

In egenn/rtemis: Machine Learning and Visualization

Polynomial Regression

Description

Convenience alias for s_GLM(polynomial = T). Substitutes all features with poly(x, poly.d)

Usage

s_POLY(x, y, x.test = NULL, y.test = NULL, poly.d = 3, poly.raw = FALSE, ...)

Arguments

x	Numeric vector or matrix / data frame of features i.e. independent variables
y	Numeric vector of outcome, i.e. dependent variable
x.test	Numeric vector or matrix / data frame of testing set features Columns must correspond to columns in x
y.test	Numeric vector of testing set outcome
poly.d	Integer: degree of polynomial(s) to use
poly.raw	Logical: if TRUE, use raw polynomials. Defaults to FALSE, resulting in orthogonal polynomials. See stats::poly
...	Additional arguments

egenn/rtemis documentation built on Oct. 28, 2024, 6:30 a.m.