CRAN/E | sgd

sgd

Stochastic Gradient Descent for Scalable Estimation

Installation

About

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.

github.com/airoldilab/sgd
Bug report File report

Key Metrics

Version 1.1.1
Published 2019-07-12 1756 days ago
Needs compilation? yes
License GPL-2
CRAN checks sgd results

Downloads

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Maintainer

Maintainer

Junhyung Lyle Kim

lylejkim@gmail.com

Authors

Junhyung Lyle Kim

cre / aut

Dustin Tran

aut

Panos Toulis

aut

Tian Lian

ctb

Ye Kuang

ctb

Edoardo Airoldi

ctb

Material

README
Reference manual
Package source

Vignettes

Stochastic gradient decent methods for estimation with large data sets

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sgd archive

Imports

ggplot2
MASS
methods
Rcpp ≥ 0.11.3
stats

Suggests

bigmemory
glmnet
gridExtra
R.rsp
testthat

LinkingTo

BH
bigmemory
Rcpp
RcppArmadillo

Reverse Imports

mombf