BGLR specifications


Unique identifier OMICS_21950
Alternative name Bayesian Generalized Linear Regression
Software type Package/Module
Restrictions to use None
Output data A list with estimated posterior means and estimated posterior standard deviations and the arguments used to fit the model.
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Version 1.0.5
Stability Stable
Source code URL
Maintained Yes



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  • person_outline Paulino Perez Rodriguez <>
  • person_outline Alessio Cecchinato <>

Publications for Bayesian Generalized Linear Regression

BGLR institution(s)
Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Legnaro, Italy; Epidemiology and Biostatistics Department, Michigan State University, East Lansing, MI, USA; Department of Statistics and Probability, Michigan State University, East Lansing, MI, USA
BGLR funding source(s)
Supported by the Province of Trento (Italy); by National Institutes of Health grant 7-R01-DK-062148-10-S1; by National Institute of Health grants R01GM09992 and R01GM101219 and by National Science Foundation grant IOS-1444543, sub-award UFDSP00010707.

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