Description
Estimate Vapnik-Chervonenkis Dimension and Sample Complexity.
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>.
README.md
scR: Learning from Noise: Applying Sample Complexity Bounds for Political Science Research
This R package provides a computationally efficient way of calculating Sample Complexity Bounds (scb), suggested by Carter and Choi (2023).
Authors
Paper
Learning from Noise: Applying Sample Complexity Bounds for Political Science Research
Installation
Install the package from CRAN by running the R commands:
install.packages("scR")
library("scR")