Package: logistic4p
Type: Package
Title: Logistic Regression with Misclassification in Dependent
        Variables
Version: 1.6
Date: 2023-10-20
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
NeedsCompilation: no
Packaged: 2026-06-08 08:22:51 UTC; root
Repository: https://johnnyzhz.r-universe.dev
Date/Publication: 2023-10-21 17:30:57 UTC
RemoteUrl: https://github.com/cran/logistic4p
RemoteRef: HEAD
RemoteSha: 8736039aaf0937eb699e002b41463416c45ef978