Distributed Multinomial Regression

Fast distributed/parallel estimation for multinomial logistic regression via Poisson factorization and the 'gamlr' package. For details see: Taddy (2015, AoAS), Distributed Multinomial Regression, .


This is an R package for distributed multinomial regression. The main function is `dmr', which fits independent Poisson log regressions for each category in your multinomial response.

To cite this package, use "Taddy (2015), Distributed Multinomial Regression, Annals of Applied Statistics".

The R package makes use of the parallel library. This allows easy in-memory parallelization, and can also be used to facilitate distribution across multiple machines.

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Reference manual

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install.packages("distrom")

1.0 by Matt Taddy, a year ago


http://github.com/TaddyLab/distrom


Browse source code at https://github.com/cran/distrom


Authors: Matt Taddy <[email protected]>


Documentation:   PDF Manual  


GPL-3 license


Depends on Matrix, gamlr, parallel, methods, stats

Suggests MASS, textir


Depended on by textir.


See at CRAN