qLearn: Estimation and inference for Q-learning

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.

Version:	1.0
Published:	2012-03-09
Author:	Jingyi Xin, Bibhas Chakraborty, and Eric B. Laber
Maintainer:	Bibhas Chakraborty <bc2425 at columbia.edu>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	qLearn results

Documentation:

Reference manual:

qLearn.pdf

Downloads:

Package source:	qLearn_1.0.tar.gz
Windows binaries:	r-devel: qLearn_1.0.zip, r-release: qLearn_1.0.zip, r-oldrel: qLearn_1.0.zip
macOS binaries:	r-release (arm64): qLearn_1.0.tgz, r-oldrel (arm64): qLearn_1.0.tgz, r-release (x86_64): qLearn_1.0.tgz, r-oldrel (x86_64): qLearn_1.0.tgz

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