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scR
View on CRAN: Click
here
Download and install scR package within the R console
Install from CRAN:
install.packages("scR")
Install from Github:
library("remotes")
install_github("cran/scR")
Install by package version:
library("remotes")
install_version("scR", "0.4.0")
Attach the package and use:
library("scR")
Maintained by
Perry Carter
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.scR . https://github.com/pjesscarter/scR/issues . https://github.com/pjesscarter/scR . scR results . scR.pdf . scR_0.4.0.tar.gz . scR_0.4.0.zip . scR_0.4.0.zip . scR_0.4.0.zip . scR_0.4.0.tgz . scR_0.4.0.tgz . scR_0.4.0.tgz . scR_0.4.0.tgz . scR_0.4.0.tgz . scR_0.4.0.tgz . scR archive . https://CRAN.R-project.org/package=scR .
First Published: 2024-12-02
Latest Update: 2024-12-02
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>.
How to cite:
Perry Carter (2024). scR: Estimate Vapnik-Chervonenkis Dimension and Sample Complexity. R package version 0.4.0, https://cran.r-project.org/web/packages/scR. Accessed 17 Feb. 2025.
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