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qLearn (version 1.0)

Estimation and inference for Q-learning

Description

Functions to implement Q-learning for estimating optimal dynamic treatment regimes from two stage sequentially randomized trials, and to perform inference via m-out-of-n bootstrap for parameters indexing the optimal regime.

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Version

Install

install.packages('qLearn')

Monthly Downloads

7

Version

1.0

License

GPL-2

Maintainer

Bibhas Chakraborty

Last Published

March 9th, 2012

Functions in qLearn (1.0)

getModel

Compute the regression coefficients for both stages
chooseMDoubleBootstrap

Choose the bootstrap sample size for stage 1 inference
qLearn

Based on the input contrast vectors, compute point estimates and construct confidence intervals using bootstrap for both stages