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scR: Estimate Vapnik-Chervonenkis Dimension and Sample Complexity

We provide a suite of tools for estimating the sample complexity of a chosen model through theoretical bounds and simulation. The package incorporates methods for estimating the Vapnik-Chervonenkis dimension (VCD) of a chosen algorithm, which can be used to estimate its sample complexity. Alternatively, we provide simulation methods to estimate sample complexity directly. For more details, see Carter, P & Choi, D (2024). "Learning from Noise: Applying Sample Complexity for Political Science Research" <doi:10.31219/osf.io/evrcj>.

Version:0.4.0
Depends:R (≥ 2.10)
Imports:parallel,pbapply,caret,dplyr,tidyr,ggplot2,plotly
Suggests:rmarkdown
Published:2024-12-23
DOI:10.32614/CRAN.package.scR
Author:Perry CarterORCID iD [aut, cre], Dahyun ChoiORCID iD [aut]
Maintainer:Perry Carter <pjc504 at nyu.edu>
BugReports:https://github.com/pjesscarter/scR/issues
License:MIT + fileLICENSE
URL:https://github.com/pjesscarter/scR
NeedsCompilation:no
Materials:README
CRAN checks:scR results

Documentation:

Reference manual:scR.html ,scR.pdf

Downloads:

Package source: scR_0.4.0.tar.gz
Windows binaries: r-devel:scR_0.4.0.zip, r-release:scR_0.4.0.zip, r-oldrel:scR_0.4.0.zip
macOS binaries: r-release (arm64):scR_0.4.0.tgz, r-oldrel (arm64):scR_0.4.0.tgz, r-release (x86_64):scR_0.4.0.tgz, r-oldrel (x86_64):scR_0.4.0.tgz
Old sources: scR archive

Linking:

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