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: | 0.3.0 |
| Depends: | R (≥ 2.10) |
| Imports: | parallel, pbapply, caret, dplyr, tidyr, ggplot2, plotly |
| Suggests: | rmarkdown |
| Published: | 2024-12-18 |
| 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 |
Documentation:
| Reference manual: | scR.pdf |
Downloads:
| Package source: | scR_0.3.0.tar.gz |
| Windows binaries: | r-devel: scR_0.2.0.zip, r-release: scR_0.1.0.zip, r-oldrel: scR_0.1.0.zip |
| macOS binaries: | r-release (arm64): scR_0.2.0.tgz, r-oldrel (arm64): scR_0.2.0.tgz, r-release (x86_64): scR_0.2.0.tgz, r-oldrel (x86_64): scR_0.2.0.tgz |
| Old sources: | scR archive |
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