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DTRKernSmooth (version 1.1.0)

Estimate and Make Inference About Optimal Treatment Regimes via Smoothed Methods

Description

Methods to estimate the optimal treatment regime among all linear regimes via smoothed estimation methods, and construct element-wise confidence intervals for the optimal linear treatment regime vector, as well as the confidence interval for the optimal value via wild bootstrap procedures, if the population follows treatments recommended by the optimal linear regime. See more details in: Wu, Y. and Wang, L. (2021), "Resampling-based Confidence Intervals for Model-free Robust Inference on Optimal Treatment Regimes", Biometrics, 77: 465– 476, .

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Version

Install

install.packages('DTRKernSmooth')

Monthly Downloads

210

Version

1.1.0

License

GPL (>= 2)

Maintainer

Yunan Wu

Last Published

November 3rd, 2023

Functions in DTRKernSmooth (1.1.0)

obj_value

Estimate the average response value of the input data given a treatment regime
predict.DTR.KernSmooth

Predict the optimal treatments given a 'DTR.KernSmooth' object
DTR.KernSmooth

Estimate the optimal treatment regime among all linear regimes with smoothed estimation methods
predict.DTR.Boots.KernSmooth

Predict the optimal treatment given a 'DTR.Boots.KernSmooth' object
DTR.Boots.KernSmooth

Make inference about the linear treatment regime vector and the optimal value