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.


Reference manual

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1.5 by Zhiyong Zhang, 4 years ago

Browse source code at https://github.com/cran/logistic4p

Authors: Haiyan Liu and Zhiyong Zhang

Documentation:   PDF Manual  

GPL license

Depends on MASS

See at CRAN