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.
statsample-glm alternatives and similar gems
Based on the "SciRuby" category.
Alternatively, view statsample-glm alternatives based on common mentions on social networks and blogs.
-
-
statsample
A suite for basic and advanced statistics on Ruby. -
-
-
-
statsample-timeseries
Bioruby Statsample TimeSeries -
publisci
A toolkit for publishing scientific results to the semantic web -
integration
Integration methods, based on original work by Beng
InfluxDB - Power Real-Time Data Analytics at Scale
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of statsample-glm or a related project?
|
WorkOS - The modern identity platform for B2B SaaS
sponsored
workos.com
|
Popular Comparisons
-
statsample-glmvsrb-gsl
-
statsample-glmvsstatsample
-
statsample-glmvsintegration
-
statsample-glmvsdistribution
-
statsample-glmvsminimization
|
SaaSHub - Software Alternatives and Reviews
sponsored
www.saashub.com
|
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.