README.md

In dclarkboucher/MLR: Multiple Linear Regression

MLR

R package for multiple linear regression

Overview

The MLR package is designed to simplify multiple linear regression analysis in R. Included in the package is the function regression_fit(), which fits a linear model based on the provided formula and dataset. This produces a list containing coefficient estimates, residuals, an ANOVA test, and several other key regression components. More information on regression_fit() can be found in the package help pages, with complete examples included under Vignettes.

Installation

To install the package from github, simply use the install_github() function from the devtools package.

install.packages("devtools")
devtools::install_github("dclarkboucher/MLR")

Authorship

This package was created in 2020 by Dylan Clark-Boucher, a student of Biostatistics at the University of Michigan, as part of BIOS 625: Big Data Computing, a graduate-level course taught by Professor Hui Jiang, Ph.D.

dclarkboucher/MLR documentation built on Dec. 31, 2020, 11:14 p.m.