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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>.

Versions across snapshots

VersionRepositoryFileSize
0.4.0 rolling linux/jammy R-4.5 scR_0.4.0.tar.gz 2.7 MiB
0.4.0 rolling linux/noble R-4.5 scR_0.4.0.tar.gz 2.7 MiB
0.4.0 rolling source/ R- scR_0.4.0.tar.gz 2.7 MiB
0.4.0 latest linux/jammy R-4.5 scR_0.4.0.tar.gz 2.7 MiB
0.4.0 latest linux/noble R-4.5 scR_0.4.0.tar.gz 2.7 MiB
0.4.0 latest source/ R- scR_0.4.0.tar.gz 2.7 MiB
0.4.0 2026-04-26 source/ R- scR_0.4.0.tar.gz 2.7 MiB
0.4.0 2026-04-23 source/ R- scR_0.4.0.tar.gz 2.7 MiB
0.4.0 2026-04-09 windows/windows R-4.5 scR_0.4.0.zip 2.7 MiB
0.4.0 2025-04-20 source/ R- scR_0.4.0.tar.gz 2.7 MiB

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