logistic4p: 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.

Version: 1.5
Depends: R (≥ 2.10), MASS
Published: 2017-05-31
Author: Haiyan Liu and Zhiyong Zhang
Maintainer: Zhiyong Zhang <johnnyzhz at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: logistic4p results


Reference manual: logistic4p.pdf
Package source: logistic4p_1.5.tar.gz
Windows binaries: r-devel: logistic4p_1.5.zip, r-release: logistic4p_1.5.zip, r-oldrel: logistic4p_1.5.zip
OS X El Capitan binaries: r-release: logistic4p_1.5.tgz
OS X Mavericks binaries: r-oldrel: logistic4p_1.5.tgz


Please use the canonical form https://CRAN.R-project.org/package=logistic4p to link to this page.