Type: Package
Package: subsampling
Title: Optimal Subsampling Methods for Statistical Models
Version: 0.4.0
Date: 2026-06-20
Authors@R: c(
    person("Qingkai", "Dong", , "qingkai.dong@uconn.edu", role = c("aut", "cre", "cph")),
    person("Yaqiong", "Yao", role = "aut"),
    person("Haiying", "Wang", role = "aut"),
    person("Qiang", "Zhang", role = "ctb"),
    person("Jun", "Yan", role = "ctb")
  )
Maintainer: Qingkai Dong <qingkai.dong@uconn.edu>
Description: 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. Based on
        specified modeling assumptions and subsampling techniques, the
        package provides functions to draw subsamples from the full
        data, fit the model on the subsamples, and perform statistical
        inference.
License: GPL-3
URL: https://github.com/dqksnow/subsampling,
        https://dqksnow.github.io/subsampling/
BugReports: https://github.com/dqksnow/Subsampling/issues
Imports: expm, nnet, quantreg, Rcpp (>= 1.0.12), stats, survey
Suggests: knitr, MASS, rmarkdown, tinytest
LinkingTo: Rcpp, RcppArmadillo
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Config/pak/sysreqs: make
Repository: https://dqksnow.r-universe.dev
Date/Publication: 2026-06-22 14:34:58 UTC
RemoteUrl: https://github.com/dqksnow/subsampling
RemoteRef: HEAD
RemoteSha: d5a31ed1a864a6dffde2842cbce1a866952b7e81
NeedsCompilation: yes
Packaged: 2026-06-22 15:26:04 UTC; root
Author: Qingkai Dong [aut, cre, cph],
  Yaqiong Yao [aut],
  Haiying Wang [aut],
  Qiang Zhang [ctb],
  Jun Yan [ctb]