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EffectTreat  

Prediction of Therapeutic Success
View on CRAN: Click here


Download and install EffectTreat package within the R console
Install from CRAN:
install.packages("EffectTreat")

Install from Github:
library("remotes")
install_github("cran/EffectTreat")

Install by package version:
library("remotes")
install_version("EffectTreat", "1.1")



Attach the package and use:
library("EffectTreat")
Maintained by
Wim Van der Elst
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-12-11
Latest Update: 2020-07-04
Description:
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.
How to cite:
Wim Van der Elst (2014). EffectTreat: Prediction of Therapeutic Success. R package version 1.1, https://cran.r-project.org/web/packages/EffectTreat. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1-1 (2014-12-11 19:32), 0.1-11 (2015-04-27 15:02), 0.2 (2015-07-07 18:10), 0.3 (2017-01-27 18:47), 0.4 (2018-09-19 17:50), 1.0 (2019-11-10 10:40)
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Complete documentation for EffectTreat
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