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.