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scR  

Empirical Sample Complexity Bounds
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", "0.7.0")



Attach the package and use:
library("scR")
Maintained by
Perry Carter
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-12-02
Latest Update: 2024-12-23
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: Empirical Sample Complexity Bounds. R package version 0.7.0, https://cran.r-project.org/web/packages/scR. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:01), 0.1.0 (2024-12-02 13:20), 0.2.0 (2024-12-16 11:40), 0.3.0 (2024-12-18 17:30), 0.4.0 (2024-12-23 13:30)
Other packages that cited scR R package
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Complete documentation for scR
Functions, R codes and Examples using the scR R package
Full scR package functions and examples
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