R library for floating population prediction using SARIMA with easy visualization.
Authors: Sanghyun Park, Daun Jeong, and Sehun Kim
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Powerful model selection procedure with SARIMA(Seasonal AutoRegressive Integrated Moving Average: 계절 자기회귀누적이동평균). Optimized by parallel computing and CPU load balancing heuristics.
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One-cue simple test and foercasting procedures.
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Awesome time series visualization functions.
- Fork this repo and clone it to your local machine.
git clone https://github.com/eik4862/Subway.git
- 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).
- From the pop-up file select window, select
Subway_3.0.0.tar.gz
and click install.
- Enjoy!
Currently, it fully supports *nix(Linux, Mac OS). Windows OS environment is now on testing.
Bug report through mail(lkd1962@naver.com
) or github issues.
Creative Commons BY 2.0 KR