CRAN/E | nawtilus

nawtilus

Navigated Weighting for the Inverse Probability Weighting

Installation

About

Implements the navigated weighting (NAWT) proposed by Katsumata (2020) , 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.

Key Metrics

Version 0.1.4
R ≥ 2.10
Published 2020-07-23 1539 days ago
Needs compilation? no
License GPL-3
CRAN checks nawtilus results

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Maintainer

Maintainer

Hiroto Katsumata

Authors

Hiroto Katsumata

aut / cre

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

nawtilus archive

Depends

R ≥ 2.10

Imports

MASS

Suggests

hypergeo
testthat