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. Part of this software has been developed using funding provided from the European Union's 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.

AuthorWim Van der Elst, Ariel Alonso & Geert Molenberghs
Date of publication2017-01-27 18:47:26
MaintainerWim Van der Elst <Wim.vanderelst@gmail.com>
LicenseGPL (>= 2)
Version0.3

View on CRAN

Functions

CausalPCA.ContCont Man page
Example.Data Man page
GoodPretreatContCont Man page
Min.Max.Multivar.PCA Man page
Multivar.PCA.ContCont Man page
PCA.ContCont Man page
plot GoodPretreatContCont Man page
plot.GoodPretreatContCont Man page
plot.Multivar.PCA.ContCont Man page
plot PCA.ContCont Man page
plot.PCA.ContCont Man page
plot Predict.Treat.ContCont Man page
plot.Predict.Treat.ContCont Man page
plot.Predict.Treat.Multivar.ContCont Man page
plot Predict.Treat.T0T1.ContCont Man page
plot.Predict.Treat.T0T1.ContCont Man page
Predict.Treat.ContCont Man page
Predict.Treat.Multivar.ContCont Man page
Predict.Treat.T0T1.ContCont Man page
summary Man page
summary.GoodPretreatContCont Man page
summary.Multivar.PCA.ContCont Man page
summary.PCA.ContCont Man page
summary.Predict.Treat.ContCont Man page
summary.Predict.Treat.Multivar.ContCont Man page
summary.Predict.Treat.T0T1.ContCont Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.