Package: scR
Title: Estimate Vapnik-Chervonenkis Dimension and Sample Complexity
Version: 0.4.0
Authors@R: 
    c(person("Perry", "Carter", , "pjc504@nyu.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-4684-6533")),
	person("Dahyun", "Choi", , "dahyunc@princeton.edu", role = c("aut"),
		comment = c(ORCID = "0000-0002-2628-1467")))
Description: 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>.
Encoding: UTF-8
RoxygenNote: 7.3.2
URL: https://github.com/pjesscarter/scR
BugReports: https://github.com/pjesscarter/scR/issues
Imports: parallel, pbapply, caret, dplyr, tidyr, ggplot2, plotly
Suggests: rmarkdown
Depends: R (>= 2.10)
LazyData: true
LazyDataCompression: xz
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2024-12-20 11:48:06 UTC; pjc504
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@nyu.edu>
Repository: CRAN
Date/Publication: 2024-12-23 12:30:02 UTC
Built: R 4.5.2; ; 2025-12-30 04:15:33 UTC; windows
