<img src=“https://secure.travis-ci.org/AnkurGel/statsample-timeseries.png” />
Statsample-Timeseries is an extension to Statsample, a suite for advanced statistics with Ruby.
Statsample-Timeseries is extension of Statsample, and incorporates helpful time series functions, estimation techniques, and modules, such as:
-
ACF
-
PACF
-
ARIMA
-
Kalman Filter
-
Log Likelihood
-
Autocovariances
-
Moving Averages
Statsample-Timeseries was created by Ankur Goel as part of Google’s Summer of Code 2013. It is part of the SciRuby Project.
Please install gsl-nmatrix which is a Ruby wrapper over GNU Scientific Library. It enables us to use various minimization techniques during estimations.
gem install statsample-timeseries
To use the library
require 'statsample-timeseries'
You can also go through the blog-posts on my blog for descriptive explanation and examples.
The API doc is online. For more code examples see also the test files in the source tree.
-
Fork the project.
-
Create your feature branch
-
Add/Modify code.
-
Write equivalent documentation and tests.
-
Run ‘rake test` to verify that all tests pass.
-
Push your branch.
-
Pull request. :)
For information on the source tree, documentation, issues and how to contribute, see
http://github.com/SciRuby/statsample-timeseries
Copyright © 2013 Ankur Goel and the Ruby Science Foundation. See LICENSE.txt for further details.
Statsample is © 2009-2013 Claudio Bustos and the Ruby Science Foundation.