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subsampling: Optimal Subsampling Methods for Statistical Models

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.

Version: 0.3.0
Imports: expm, nnet, quantreg, Rcpp (≥ 1.0.12), stats, survey
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, MASS, rmarkdown, tinytest
Published: 2026-03-10
DOI: 10.32614/CRAN.package.subsampling
Author: Qingkai Dong [aut, cre, cph], Yaqiong Yao [aut], Haiying Wang [aut], Qiang Zhang [ctb], Jun Yan [ctb]
Maintainer: Qingkai Dong <qingkai.dong at uconn.edu>
BugReports: https://github.com/dqksnow/Subsampling/issues
License: GPL-3
URL: https://github.com/dqksnow/subsampling, https://dqksnow.github.io/subsampling/
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: subsampling results

Documentation:

Reference manual: subsampling.html , subsampling.pdf
Vignettes: 'ssp.glm.rF': Balanced Subsampling for Preserving Rare Features in Generalized Linear Models (source, R code)
'ssp.glm': Subsampling for Generalized Linear Models (source, R code)
'ssp.quantreg': Subsampling for Quantile Regression (source, R code)
'ssp.relogit': Subsampling for Logistic Regression Model with Rare Events (source, R code)
'ssp.softmax': Subsampling for Softmax (Multinomial) Regression Model (source, R code)

Downloads:

Package source: subsampling_0.3.0.tar.gz
Windows binaries: r-devel: subsampling_0.1.1.zip, r-release: subsampling_0.1.1.zip, r-oldrel: subsampling_0.1.1.zip
macOS binaries: r-release (arm64): subsampling_0.3.0.tgz, r-oldrel (arm64): subsampling_0.3.0.tgz, r-release (x86_64): subsampling_0.3.0.tgz, r-oldrel (x86_64): subsampling_0.3.0.tgz
Old sources: subsampling archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.