sgd (1.1.1)

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Stochastic Gradient Descent for Scalable Estimation.

A fast and flexible set of tools for large scale estimation. It features many stochastic gradient methods, built-in models, visualization tools, automated hyperparameter tuning, model checking, interval estimation, and convergence diagnostics.

Maintainer: Junhyung Lyle Kim
Author(s): Junhyung Lyle Kim [cre, aut], Dustin Tran [aut], Panos Toulis [aut], Tian Lian [ctb], Ye Kuang [ctb], Edoardo Airoldi [ctb]

License: GPL-2

Uses: ggplot2, MASS, Rcpp, R.rsp, bigmemory, glmnet, testthat, gridExtra

Released 5 months ago.

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