LSAC_data

<p>Example data from The Law School Admissions Council's (LSAC) National Bar Passage Study (Linda Wightman, 1998)</p>

datasets

Use frequentist and Bayesian methods to estimate parameters from a
binary outcome misclassification model. These methods correct for the problem
of "label switching" by assuming that the sum of outcome sensitivity and
specificity is at least 1. A description of the analysis methods is
available in Hochstedler and Wells (2023) <doi:10.48550/arXiv.2303.10215>.

Kimberly Hochstedler

COMBO

Correcting Misclassified Binary Outcomes in Association Studies

Kimberly Hochstedler Webb

LSAC_data function

<p>A dataframe 39 columns, including background and demographic information, as well
as if the candidates passed the bar exam to become lawyers in the USA.</p>

LSAC_data: Example data from The Law School Admissions Council's (LSAC) National Bar Passage Study (Linda Wightman, 1998)

Description

Usage

Arguments

Format

Examples