Description
Statsample-GLM is an extension of Generalized Linear Models to Statsample, a suite of advance statistics in Ruby.
Requires ruby 1.9.3 or higher.
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README
statsample-glm
Statsample-GLM is an extension of Generalized Linear Models to Statsample, a suite of advance statistics in Ruby.
Requires ruby 2.0.0 or higher.
Description
Statsample-glm includes the following Generalized Linear Models:
- Iteratively Reweighted Least Squares
- Poisson Regression
- Logistic Regression
- Maximum Likelihood Models (Newton Raphson)
- Logistic Regression
- Probit Regression
- Normal Regression
Statsample-GLM was created by Ankur Goel as part of Google's Summer of Code 2013. It is the part of the SciRuby Project.
Installation
gem install statsample-glm
Usage
To use the library
require 'statsample-glm'
Blogs
- Generalized Linear Models: Introduction and implementation in Ruby.
- Formula language implementation in Statsample-GLM
- Addition of shortcut symbols in formula language
Case Studies
- Logistic Regression Analysis with daru and statsample-glm
- Logistic Regression involving categorical variable and use of formula language
Documentation
The API doc is online. For more code examples see also the spec files in the source tree.
Project home page
http://github.com/sciruby/statsample-glm
Copyright
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-glm README section above
are relevant to that project's source code only.