SABRE - Software for the Analysis of Recurrent Events

Software for the Analysis of Recurrent Events. NCRM Festival Presentation on 2 July 2008. By many orders of magnitude. Sabre may be run as a stand-alone package. Or as a library for the package R. Or a plugin for the package Stata. Fits the mover-stayer model, conventional logistic, logistic-normal and logistic-normal with end-points models to binary data. Fits the ordered probit and logit random effect response models. Can deal with very long sequences of data. Comprehensive online user manual.

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Statistical Application softwares

In this blog I wish to share information about important link to some of the most useful free software and open source, books and manual of softwares for social science research, operations research, mathematics and statistics applications. Tuesday, April 26, 2011. What statistical analysis should I use? 1 IV with 2 levels. 1 IV with 2 levels.

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SABRE - Software for the Analysis of Recurrent Events

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Software for the Analysis of Recurrent Events. NCRM Festival Presentation on 2 July 2008. By many orders of magnitude. Sabre may be run as a stand-alone package. Or as a library for the package R. Or a plugin for the package Stata. Fits the mover-stayer model, conventional logistic, logistic-normal and logistic-normal with end-points models to binary data. Fits the ordered probit and logit random effect response models. Can deal with very long sequences of data. Comprehensive online user manual.

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The web site has the following on the homepage, "Software for the Analysis of Recurrent Events." I noticed that the web page also said " NCRM Festival Presentation on 2 July 2008." They also said " By many orders of magnitude. Sabre may be run as a stand-alone package. Or as a library for the package R. Or a plugin for the package Stata. Fits the mover-stayer model, conventional logistic, logistic-normal and logistic-normal with end-points models to binary data. Fits the ordered probit and logit random effect response models. Can deal with very long sequences of data."

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