sgd: 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.

Getting started

Package details

AuthorJunhyung Lyle Kim [cre, aut], Dustin Tran [aut], Panos Toulis [aut], Tian Lian [ctb], Ye Kuang [ctb], Edoardo Airoldi [ctb]
MaintainerJunhyung Lyle Kim <jlylekim@gmail.com>
LicenseGPL-2
Version1.1.2
URL https://github.com/airoldilab/sgd
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sgd")

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sgd documentation built on May 29, 2024, 5:31 a.m.