Package: logistic4p
Type: Package
Title: Logistic Regression with Misclassification in Dependent
        Variables
Version: 1.5
Date: 2017-05-30
Depends: R (>= 2.10), MASS
Author: Haiyan Liu and Zhiyong Zhang
Maintainer: Zhiyong Zhang <johnnyzhz@gmail.com>
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. 
License: GPL
LazyLoad: yes
RoxygenNote: 5.0.1
Repository: CRAN
Repository/R-Forge/Project: semdiag
Repository/R-Forge/Revision: 120
Repository/R-Forge/DateTimeStamp: 2016-05-16 20:22:19
Date/Publication: 2017-05-31 06:20:10 UTC
NeedsCompilation: no
Packaged: 2017-05-31 00:54:15 UTC; johnnyzhang
Built: R 4.0.2; ; 2020-07-15 15:44:47 UTC; unix
