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


Reference manual: qLearn.pdf
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
OS X Snow Leopard binaries: r-release: qLearn_1.0.tgz, r-oldrel: qLearn_1.0.tgz
OS X Mavericks binaries: r-release: qLearn_1.0.tgz