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.

Author
Wim Van der Elst, Ariel Alonso & Geert Molenberghs
Date of publication
2015-07-07 18:10:50
Maintainer
Wim Van der Elst <Wim.vanderelst@gmail.com>
License
GPL (>= 2)
Version
0.2

View on CRAN

Man pages

CausalPCA.ContCont
Show a causal diagram of the median correlation between the...
Example.Data
An example dataset
GoodPretreatContCont
Examine the plausibility of finding a good pretreatment...
Min.Max.Multivar.PCA
Minimum and maximum values for the multivariate predictive...
Multivar.PCAContCont
Compute the multivariate predictive causal association (PCA)...
PCAContCont
Compute the predictive causal association (PCA) in the...
plot.GoodPretreatContCont
Graphically illustrates the theoretical plausibility of...
plot.PCA.ContCont
Plots the Predictive Causal Association in the...
plot.Predict.Treat.ContCont
Plots the distribution of the individual causal effect based...
plot.Predict.Treat.T0T1.ContCont
Plots the distribution of the individual causal effect based...
Predict.Treat.ContCont
Compute the predicted treatment effect on the true endpoint...
Predict.Treat.Multivar.ContCont
Compute the predicted treatment effect on the true endpoint...
Predict.Treat.T0T1ContCont
Compute the predicted treatment effect on the true endpoint...
summary.gen
Summary

Files in this package

EffectTreat
EffectTreat/NAMESPACE
EffectTreat/NEWS
EffectTreat/data
EffectTreat/data/Example.Data.rda
EffectTreat/R
EffectTreat/R/plot.Predict.Treat.T0T1.ContCont.R
EffectTreat/R/summary.PCA.ContCont.R
EffectTreat/R/Predict.Treat.Multivar.ContCont.R
EffectTreat/R/summary.Predict.Treat.ContCont.R
EffectTreat/R/Min.Max.Multivar.PCA.R
EffectTreat/R/MultivarPCAContCont.R
EffectTreat/R/Predict.Treat.ContCont.R
EffectTreat/R/plot.Predict.Treat.ContCont.R
EffectTreat/R/summary.GoodPretreatContCont.R
EffectTreat/R/plot.PCA.ContCont.R
EffectTreat/R/CausalPCA.ContCont.R
EffectTreat/R/summary.Predict.Treat.T0T1.ContCont.R
EffectTreat/R/Predict.Treat.T0T1.ContCont.R
EffectTreat/R/summary.Multivar.PCA.ContCont.R
EffectTreat/R/PCAContCont.R
EffectTreat/R/plot.GoodPretreatContCont.R
EffectTreat/R/GoodPretreatContCont.R
EffectTreat/MD5
EffectTreat/DESCRIPTION
EffectTreat/man
EffectTreat/man/plot.Predict.Treat.ContCont.Rd
EffectTreat/man/Min.Max.Multivar.PCA.Rd
EffectTreat/man/Example.Data.Rd
EffectTreat/man/PCAContCont.Rd
EffectTreat/man/Predict.Treat.T0T1ContCont.Rd
EffectTreat/man/Predict.Treat.ContCont.Rd
EffectTreat/man/Predict.Treat.Multivar.ContCont.Rd
EffectTreat/man/plot.GoodPretreatContCont.Rd
EffectTreat/man/plot.PCA.ContCont.Rd
EffectTreat/man/Multivar.PCAContCont.Rd
EffectTreat/man/summary.gen.Rd
EffectTreat/man/CausalPCA.ContCont.Rd
EffectTreat/man/plot.Predict.Treat.T0T1.ContCont.Rd
EffectTreat/man/GoodPretreatContCont.Rd