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logistic4p (version 1.5)
Logistic Regression with Misclassification in Dependent
Variables
Description
Error in a binary dependent variable, also known as misclassification, has not drawn much attention in psychology. Ignoring misclassification in logistic regression can result in misleading parameter estimates and statistical inference. This package conducts logistic regression analysis with misspecification in outcome variables.