logistic4p: Logistic Regression with Misclassification in Dependent Variables
Version 1.4

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
Date of publication2016-05-16 20:22:19
MaintainerZhiyong Zhang <[email protected]>
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("logistic4p", repos="http://R-Forge.R-project.org")

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logistic4p documentation built on May 31, 2017, 4:24 a.m.