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license: GPL-3.0-only
title: 'subsampling: Optimal Subsampling Methods for Statistical Models'
version: 0.1.1
doi: 10.32614/CRAN.package.subsampling
abstract: Balancing computational and statistical efficiency, subsampling techniques
  offer a practical solution for handling large-scale data analysis. Subsampling methods
  enhance statistical modeling for massive datasets by efficiently drawing representative
  subsamples from full dataset based on tailored sampling probabilities. These probabilities
  are optimized for specific goals, such as minimizing the variance of coefficient
  estimates or reducing prediction error.
authors:
- family-names: Dong
  given-names: Qingkai
  email: qingkai.dong@uconn.edu
- family-names: Yao
  given-names: Yaqiong
- family-names: Wang
  given-names: Haiying
repository: https://CRAN.R-project.org/package=subsampling
repository-code: https://github.com/dqksnow/Subsampling
url: https://github.com/dqksnow/Subsampling
date-released: '2024-11-02'
contact:
- family-names: Dong
  given-names: Qingkai
  email: qingkai.dong@uconn.edu