Package: ipwErrorY
Type: Package
Title: Inverse Probability Weighted Estimation of Average Treatment
        Effect with Misclassified Binary Outcome
Version: 2.1
Date: 2019-05-02
Author: Di Shu <shudi1991@gmail.com>, Grace Y. Yi <yyi@uwaterloo.ca>
Maintainer: Di Shu <shudi1991@gmail.com>
Description: An implementation of the correction methods proposed by
        Shu and Yi (2017) <doi:10.1177/0962280217743777> for the
        inverse probability weighted (IPW) estimation of average
        treatment effect (ATE) with misclassified binary outcomes.
        Logistic regression model is assumed for treatment model for
        all implemented correction methods, and is assumed for the
        outcome model for the implemented doubly robust correction
        method. Misclassification probability given a true value of the
        outcome is assumed to be the same for all individuals.
License: GPL (>= 2)
Imports: nleqslv, stats
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2026-10-08 09:57:30 UTC; root
Repository: https://shu-d.r-universe.dev
Date/Publication: 2019-05-02 09:00:03 UTC
RemoteUrl: https://github.com/cran/ipwErrorY
RemoteRef: HEAD
RemoteSha: 92e8c2559b5174d620d557e8639fba4a534de203