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nawtilus  

Navigated Weighting for the Inverse Probability Weighting
View on CRAN: Click here


Download and install nawtilus package within the R console
Install from CRAN:
install.packages("nawtilus")

Install from Github:
library("remotes")
install_github("cran/nawtilus")

Install by package version:
library("remotes")
install_version("nawtilus", "0.1.4")



Attach the package and use:
library("nawtilus")
Maintained by
Hiroto Katsumata
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-12
Latest Update: 2020-07-23
Description:
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) , 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.
How to cite:
Hiroto Katsumata (2020). nawtilus: Navigated Weighting for the Inverse Probability Weighting. R package version 0.1.4, https://cran.r-project.org/web/packages/nawtilus. Accessed 12 Jun. 2026.
Previous versions and publish date:
0.1.3 (2020-06-12 11:40)
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Complete documentation for nawtilus
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