nawtilus: Navigated Weighting for the Inverse Probability Weighting

Implements the navigated weighting (NAWT) proposed by Katsumata (2020) <doi:10.48550/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.

Version: 0.1.4
Depends: R (≥ 2.10)
Imports: MASS
Suggests: hypergeo, testthat
Published: 2020-07-23
DOI: 10.32614/CRAN.package.nawtilus
Author: Hiroto Katsumata [aut, cre]
Maintainer: Hiroto Katsumata <hrt.katsumata at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
In views: MissingData
CRAN checks: nawtilus results


Reference manual: nawtilus.pdf


Package source: nawtilus_0.1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): nawtilus_0.1.4.tgz, r-oldrel (arm64): nawtilus_0.1.4.tgz, r-release (x86_64): nawtilus_0.1.4.tgz, r-oldrel (x86_64): nawtilus_0.1.4.tgz
Old sources: nawtilus archive


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