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] (<https://orcid.org/0000-0002-4684-6533>), Dahyun Choi [aut] (<https://orcid.org/0000-0002-2628-1467>) |
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 |
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