EffectTreat: Prediction of Therapeutic Success

In personalized medicine, one wants to know, for a given patient and his or her outcome for a predictor (pre-treatment variable), how likely it is that a treatment will be more beneficial than an alternative treatment. This package allows for the quantification of the predictive causal association(i.e., the association between the predictor variable and the individual causal effect of the treatment) and related metrics.

Version: 0.1-1
Published: 2014-12-11
Author: Wim Van der Elst, Ariel Alonso & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst at gmail.com>
BugReports: Wim Van der Elst <Wim.vanderelst@gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: EffectTreat results

Downloads:

Reference manual: EffectTreat.pdf
Package source: EffectTreat_0.1-1.tar.gz
Windows binaries: r-devel: EffectTreat_0.1-1.zip, r-release: EffectTreat_0.1-1.zip, r-oldrel: EffectTreat_0.1-1.zip
OS X Snow Leopard binaries: r-release: EffectTreat_0.1-1.tgz, r-oldrel: EffectTreat_0.1-1.tgz
OS X Mavericks binaries: r-release: EffectTreat_0.1-1.tgz