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sgd
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", "1.1.3") Attach the package and use:
library("sgd")
Maintained by
Junhyung Lyle Kim
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[Scholar Profile | Author Map]
All associated links for this package
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 1.1.3, https://cran.r-project.org/web/packages/sgd. Accessed 08 Aug. 2026.
Previous versions and publish date:
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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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