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.


Reference manual

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1.0 by Matt Taddy, a year ago


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