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sgd  

Stochastic Gradient Descent for Scalable Estimation
View on CRAN: Click here


Download and install sgd package within the R console
Install from CRAN:
install.packages("sgd")

Install from Github:
library("remotes")
install_github("cran/sgd")

Install by package version:
library("remotes")
install_version("sgd", "1.1.2")



Attach the package and use:
library("sgd")
Maintained by
Junhyung Lyle Kim
[Scholar Profile | Author Map]
First Published: 2015-05-08
Latest Update: 2024-01-31
Description:
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.
How to cite:
Junhyung Lyle Kim (2015). sgd: Stochastic Gradient Descent for Scalable Estimation. R package version 1.1.2, https://cran.r-project.org/web/packages/sgd. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.1 (2015-05-08 11:45), 1.0 (2015-09-23 08:05), 1.1.1 (2019-07-13 00:14), 1.1 (2016-01-05 21:12)
Other packages that cited sgd R package
View sgd citation profile
Other R packages that sgd depends, imports, suggests or enhances
Complete documentation for sgd
Functions, R codes and Examples using the sgd R package
Some associated functions: coef.sgd . fitted.sgd . plot.sgd . predict.sgd . print.sgd . residuals.sgd . sgd . winequality . 
Some associated R codes: RcppExports.R . coef.sgd.R . data-winequality.R . fitted.sgd.R . plot.sgd.R . predict.sgd.R . print.sgd.R . residuals.sgd.R . sgd.R .  Full sgd package functions and examples
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