Popularity
1.3
Growing
Activity
0.0
Stable
13
8
12

Description

{}[http://travis-ci.org/#!/SciRuby/statsample-timeseries]

Statsample-Timeseries is an extension to Statsample, a suite for advanced statistics with Ruby.

Code Quality Rank: L5
Monthly Downloads: 38
Programming language: Ruby
License: BSD 1-Clause License
Tags: Scientific     SciRuby     Projects    
Latest version: v0.3.0

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README

statsample-timeseries

Build Status

Statsample-Timeseries is an extension to Statsample, a suite for advanced statistics with Ruby.

Description

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 is part of the SciRuby project.

Dependency

Please install rb-gsl which is a Ruby wrapper over GNU Scientific Library. It enables us to use various minimization techniques during estimations.

Installation

gem install statsample-timeseries

Usage

To use the library:

require 'statsample-timeseries'

See Ankur's blog posts for explanations and examples.

Documentation

The API doc is online. For more code examples see also the test files in the source tree.

Contributing

  • 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. :)

Project home page

For information on the source tree, documentation, issues and how to contribute, see [http://github.com/SciRuby/statsample-timeseries](git@github.com:SciRuby/statsample-timeseries.git).

Copyright (c) 2013 Ankur Goel and the Ruby Science Foundation. See LICENSE.txt for further details.

Statsample is (c) 2009-2013 Claudio Bustos and the Ruby Science Foundation.


*Note that all licence references and agreements mentioned in the statsample-timeseries README section above are relevant to that project's source code only.