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higrad  

Statistical Inference for Online Learning and Stochastic Approximation via HiGrad
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("higrad", "0.1.0")



Attach the package and use:
library("higrad")
Maintained by
Yuancheng Zhu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-14
Latest Update: 2018-03-14
Description:
Implements the Hierarchical Incremental GRAdient Descent (HiGrad) algorithm, a first-order algorithm for finding the minimizer of a function in online learning just like stochastic gradient descent (SGD). In addition, this method attaches a confidence interval to assess the uncertainty of its predictions. See Su and Zhu (2018) for details.
How to cite:
Yuancheng Zhu (2018). higrad: Statistical Inference for Online Learning and Stochastic Approximation via HiGrad. R package version 0.1.0, https://cran.r-project.org/web/packages/higrad. Accessed 06 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited higrad R package
View higrad citation profile
Other R packages that higrad depends, imports, suggests or enhances
Complete documentation for higrad
Functions, R codes and Examples using the higrad R package
Some associated functions: higrad . plot.higrad . predict.higrad . print.higrad . 
Some associated R codes: higrad.R .  Full higrad package functions and examples
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