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  "Title": "Navigated Weighting for the Inverse Probability Weighting",
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  "Description": "Implements the navigated weighting (NAWT) proposed by\nKatsumata (2020) <arXiv:2005.10998>, which improves the inverse\nprobability weighting by utilizing estimating equations\nsuitable for a specific pre-specified parameter of interest\n(e.g., the average treatment effects or the average treatment\neffects on the treated) in propensity score estimation. It\nincludes the covariate balancing propensity score proposed by\nImai and Ratkovic (2014) <doi:10.1111/rssb.12027>, which uses\ncovariate balancing conditions in propensity score estimation.\nThe point estimate of the parameter of interest as well as\ncoefficients for propensity score estimation and their\nuncertainty are produced using the M-estimation. The same\nfunctions can be used to estimate average outcomes in missing\noutcome cases.",
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