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.


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install.packages("logistic4p")

1.5 by Zhiyong Zhang, 2 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