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NeEDS4BigData

New Experimental Design Based Subsampling Methods for Big Data

v1.0.1 · Oct 22, 2025 · MIT + file LICENSE

Description

Subsampling methods for big data under different models and assumptions. Starting with linear regression and leading to Generalised Linear Models, softmax regression, and quantile regression. Specifically, the model-robust subsampling method proposed in Mahendran, A., Thompson, H., and McGree, J. M. (2023) <doi:10.1007/s00362-023-01446-9>, where multiple models can describe the big data, and the subsampling framework for potentially misspecified Generalised Linear Models in Mahendran, A., Thompson, H., and McGree, J. M. (2025) <doi:10.48550/arXiv.2510.05902>.

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NOTE r-oldrel-macos-arm64

installed package size

  installed size is  8.7Mb
  sub-directories of 1Mb or more:
    data   7.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  8.7Mb
  sub-directories of 1Mb or more:
    data   7.7Mb
NOTE r-oldrel-windows-x86_64

installed package size

  installed size is  8.0Mb
  sub-directories of 1Mb or more:
    data   7.1Mb
OK r-patched-linux-x86_64

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OK r-release-linux-x86_64

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Check History

NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is  8.7Mb
  sub-directories of 1Mb or more:
    data   7.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  8.7Mb
  sub-directories of 1Mb or more:
    data   7.7Mb
NOTE r-oldrel-windows-x86_64

installed package size

  installed size is  8.0Mb
  sub-directories of 1Mb or more:
    data   7.1Mb

Dependency Network

Dependencies Reverse dependencies dplyr foreach gam ggh4x ggplot2 ggridges matrixStats mvnfast psych Rdpack Rfast rlang tidyr NeEDS4BigData

Version History

new 1.0.1 Mar 9, 2026