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.

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.

gem install statsample-glm

To use the library

require 'statsample-glm'

• Generalized Linear Models: Introduction and implementation in Ruby.
• Formula language implementation in Statsample-GLM
• Addition of shortcut symbols in formula language

• Logistic Regression Analysis with daru and statsample-glm
• Logistic Regression involving categorical variable and use of formula language

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

http://github.com/sciruby/statsample-glm

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.