README.md

In eik4862/Subway: Time Series Analysis & Visualization

Subway

R library for floating population prediction using SARIMA with easy visualization.

Authors: Sanghyun Park, Daun Jeong, and Sehun Kim

Features

• Powerful model selection procedure with SARIMA(Seasonal AutoRegressive Integrated Moving Average: 계절 자기회귀누적이동평균). Optimized by parallel computing and CPU load balancing heuristics.

• One-cue simple test and foercasting procedures.

• Awesome time series visualization functions.

Install

1. Fork this repo and clone it to your local machine.

git clone https://github.com/eik4862/Subway.git

1. Open R studio (requires R version >= 2.10) and click install at packages panel. Click dropdown menu to select Package Archive File (.tgz; .tar.gz).

1. From the pop-up file select window, select Subway_3.0.0.tar.gz and click install.

1. Enjoy!

Environment

Currently, it fully supports *nix(Linux, Mac OS). Windows OS environment is now on testing.

Maintainer

Bug report through mail([e-mail]) or github issues.

License

Creative Commons BY 2.0 KR

eik4862/Subway documentation built on Sept. 24, 2021, 3:39 a.m.