logistic4p: Logistic Regression with Misclassification in Dependent Variables

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.

Package details

AuthorHaiyan Liu and Zhiyong Zhang
MaintainerZhiyong Zhang <johnnyzhz@gmail.com>
Package repositoryView on CRAN
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logistic4p documentation built on Oct. 21, 2023, 5:07 p.m.