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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 Carter [aut, cre], Dahyun Choi [aut] |
Maintainer: | Perry Carter <pjc504 at nyu.edu> |
BugReports: | https://github.com/pjesscarter/scR/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/pjesscarter/scR |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | scR results |
Reference manual: | scR.pdf |
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 |
Please use the canonical form https://CRAN.R-project.org/package=scR to link to this page.
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.
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