logistic4p (version 1.6)

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.

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Install

install.packages('logistic4p')

Monthly Downloads

190

Version

1.6

License

GPL

Maintainer

Last Published

October 21st, 2023

Functions in logistic4p (1.6)