predict.linearr: Predict Linear Regression

In MGallow/logitr: Penalized Logistic Regression

Description

Generates prediction for linear regression. Note that one can either input a 'linearr' object or a matrix of beta coefficients.

Usage

## S3 method for class 'linearr'
predict(object, X, y = NULL, ...)

Arguments

object	'linearr' object or matrix of betas
X	matrix or data frame of (new) observations
y	optional, matrix or vector of response values
...	additional arguments

Value

predictions and loss metrics

Examples

library(dplyr)
X = dplyr::select(iris, -c(Species, Sepal.Length))
y = dplyr::select(iris, Sepal.Length)
fitted = linearr(X, y, lam = 0.1)
predict(fitted, X)

MGallow/logitr documentation built on May 6, 2019, 12:06 a.m.