Description : | 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.
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