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SABRE is a program for the statistical analysis of multi-process
random effect response data. These responses can take the form of binary,
ordinal, count and linear recurrent events. The response sequences can be of
different types. Such multi-process data is common in many research areas, e.g.
the analysis of work and life histories. Sabre has been used intensively on
many longitudinal datasets surveys either with recurrent information
collected over time or with a clustered sampling scheme. Support for parallel
processors can
dramatically
cut run times 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.
The current release is 6.0.1. SABRE development was funded by ESRC as a
pilot demonstrator project in e-Social Science, the CQeSS project and by
Lancaster University. There is a book to accompany the R version of this is software,
see Berridge, D.M., Crouchley, R., (2011), Multivariate Generalized Linear Mixed Models Using R,
CRC Press, Boca Raton, FL, USA.
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