README.md

In nvarshney20/STA141CFinal: Implementation of Multiple Linear Regression using BLB

STA141CFinal

Implementation of Multiple Linear Regression using BLB

Final Project for STA 141C at UC Davis, Winter 2020

William Shih, Ricardo Simpao, Nilay Varshney, Luke Yee

This R package provides functions for fitting linear regression models on datasets with continuous response variables through the use of Bag of Little Bootstraps. Users can determine regression coefficients, estimate the variance of errors, and predict new data. Users also have the option to use parallel computing.

nvarshney20/STA141CFinal documentation built on March 20, 2020, 12:48 a.m.