BSGLMM

Bayesian Spatial Generalised Linear Mixed Model

By Tian Ge, Tim Johnson & Tom Nichols

 


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Introduction
Manual
Example
Download
References
Contact
 

Introduction


The Bayesian Spatial Generalised Linear Mixed Model is an extension of generalized linear mixed models and was developed by Tian Ge, Tim Johnson & Tom Nichols. For the manual and example of usage please follow this link. For download please see here. Alternatively, check GitHub for history and latest version: BSGLMM Repo.

References

  • Tian Ge, Nicole Müller-Lenke, Kerstin Bendfeldt, Thomas E. Nichols, & Timothy D. Johnson. "Analysis Of Multiple Sclerosis Lesions Via Spatially Varying Coefficients". Ann. Appl. Stat. 2014;8(2):1095–1118.
    (PDF) PDF | Pre Print | (PDF) Supplementary Material

Contact

For further queries or to report any issues please contact Tian Ge, Tim Johnson or Tom Nichols.



Oxford Big Data Institute at the University of Oxford