glmlab
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glmlab is a set of m-files for using MATLAB for analysing generalised linear models. It originally was developed to replace GLIM in a small way at the University where I work (the University of Southern Queensland, Australia). It has since grown, and now contains quite a lot of the features found in GLIM. It enables models such as multiple regression, probit models, logistic regression, and log-linear models (among others) to be fitted.
glmlab has these features:
* A graphical user interface with drop down menu to select distribution, link, etc...
* A choice of error distribution (normal, gamma, inverse Gaussian,Possion, binomial)
* A choice of links (identity, log, reciprocal, square root, power, logistic, probit, complementary log-log)
* A choice of errors to calculate (Pearson, deviance, quantile)
* Some residual plots
* The ability to define your own error distributions and link functions
* Prior weights, offsets and interactions
* the ability to save models between sessions
Cite As
Peter Dunn (2024). glmlab (https://www.mathworks.com/matlabcentral/fileexchange/195-glmlab), MATLAB Central File Exchange. Retrieved .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Regression > Linear Regression >
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glmlab/
glmlab/data/
glmlab/fit/
glmlab/fit/dist/
glmlab/fit/link/
glmlab/glmhelp/
glmlab/glmlog/
glmlab/misc/
glmlab/plotting/
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |