Package: higrad
Type: Package
Title: Statistical Inference for Online Learning and Stochastic
        Approximation via HiGrad
Version: 0.1.0
Authors@R: c(
    person("Weijie", "Su", email = "suw@wharton.upenn.edu", role = "aut"),
    person("Yuancheng", "Zhu", email = "yuancheng.zhu@gmail.com", role = c("aut", "cre")))
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) <arXiv:1802.04876> for details. 
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: Matrix
NeedsCompilation: no
Packaged: 2018-03-14 13:29:18 UTC; Yuancheng
Author: Weijie Su [aut],
  Yuancheng Zhu [aut, cre]
Maintainer: Yuancheng Zhu <yuancheng.zhu@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-14 15:44:13 UTC
Built: R 4.6.0; ; 2026-04-26 00:55:14 UTC; unix
