README.md

In thecrosbyfan/uwrfRegression: Automated Regression for UWRF Math 327

uwrfRegression

This R package seeks to automate regression in the way that it is taught at the University of Wisconsin-River Falls in Math 327 - Applied Regression Analysis. I used this as a reference for how to create the package, and I used this as a reference for how to put it on GitHub. Here is the official manual for creating R packages.

DISCLAIMER: This package will not, and likely cannot, cover every possible scenario. It is, as such, not intended to replace the content of the class. Rather, it is intended as a supplemental method of answer validation.

How to Install This Package

If you don't have devtools installed, install it:

install.packages("devtools")

Load devtools and install the package in this repository:

library(devtools)
install_github("jack-thomas/uwrfRegression")

Functions In This Package

The following packages are included as part of this package. Please note that some of them are not yet completed.

• carima(), AR(k) modeling.
• cmlr(), multiple linear regression.
• cslr(), simple linear regression.
• csts(), which does seasonal time series stuff.
• ctsr(), time series modeling using MAD.
• eSmooth(), exponential smoothing for time series.
• ts.poly(), polynomial time series regression.

Contact Me

Please feel free to shoot me an email: [e-mail].

thecrosbyfan/uwrfRegression documentation built on May 31, 2019, 9:12 a.m.