Package: nawtilus
Type: Package
Title: Navigated Weighting for the Inverse Probability Weighting
Version: 0.1.4
Authors@R: person("Hiroto", "Katsumata", email = "hrt.katsumata@gmail.com", role = c("aut", "cre"))
Description: Implements the navigated weighting (NAWT) proposed by
        Katsumata (2020) <arXiv:2005.10998>, which improves the inverse
        probability weighting by utilizing estimating equations
        suitable for a specific pre-specified parameter of interest
        (e.g., the average treatment effects or the average treatment
        effects on the treated) in propensity score estimation. It
        includes the covariate balancing propensity score proposed by
        Imai and Ratkovic (2014) <doi:10.1111/rssb.12027>, which uses
        covariate balancing conditions in propensity score estimation.
        The point estimate of the parameter of interest as well as
        coefficients for propensity score estimation and their
        uncertainty are produced using the M-estimation. The same
        functions can be used to estimate average outcomes in missing
        outcome cases.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: MASS,
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
Suggests: hypergeo, testthat
Repository: https://hirotokatsumata.r-universe.dev
Date/Publication: 2020-08-02 10:16:28 UTC
RemoteUrl: https://github.com/hirotokatsumata/nawtilus
RemoteRef: HEAD
RemoteSha: 1af124fe11d82bd81759648f37488216a5270fb2
NeedsCompilation: no
Packaged: 2026-06-17 11:18:50 UTC; root
Author: Hiroto Katsumata [aut, cre]
Maintainer: Hiroto Katsumata <hrt.katsumata@gmail.com>