<p>Replication data for 'Predicting Recidivism'</p>

datasets

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>.

Perry Carter

Estimate Vapnik-Chervonenkis Dimension and Sample Complexity

Dahyun Choi

br function

<p>An object of class <code>data.frame</code> with 7214 rows and 14 columns.</p>

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br: Replication data for 'Predicting Recidivism'

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