generalized statistical linear models analysis. (Dec 2003). 					

              glmbox -generalized linear models package-


glmbox is a Scilab computer package for analysing some of most popular 
statistical models belonging to wide class of the generalized linear models 
(GLM) such as Binomial models, Poisson models, Normal models, Gamma models 
and Inverse Gaussian models. This package includes a main program (glm.sci) 
which uses iteratively reweighted least squares algorithm (IRLS) to perform 
inference in GLM and a set of secondary programs (logarithmic_link.sci, 
identity_link.sci, logit_link.sci, squaretoot_link.sci, reciprocal_link.sci, 
probit_link.sci, complog_link.sci, replicate.sci and erfinverse.sci) used by 
the main program. See the help files for more details.

Author:          
--------
Stefano Favaro
sfavaro@katamail.com

Availability:
------------
Works on Linux and Windows. 

--------------Information----------
itle:           glmbox
Version:         1.0
Description:     Generalized linear models package.
                 glmbox is a Scilab computer package for analysing 
                 some of most popular statistical models belonging to 
                 wide class of the generalized linear models (GLM) 
                 such as Binomial models, Poisson models, Normal models, 
                 Gamma models and Inverse Gaussian models.
Author:          sfavaro@katamail.com (Stefano Favaro)
Maintained-by:   sfavaro@katamail.com (Stefano Favaro)
Maintained-at:   Personal Home Page: 
                 http://utenti.lycos.it/stefanofavaro/glmbox/ 
Platforms:       Scilab 2.7.2 
Copying-Policy:  Gnu Library General Public License (GLPL)
Keywords:        generalized linear models (GLM), iteratively reweighted 
                 least squares algorithm (IRLS), link function, Binomial 
                 models, Poisson models, Normal models, Gamma models, 
                 Inverse Gaussian models.