Other packages > Find by keyword >

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 10 Mar. 2026.
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)
Other packages that cited EffectTreat R package
View EffectTreat citation profile
Other R packages that EffectTreat depends, imports, suggests or enhances
Complete documentation for EffectTreat
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

plyr  
Tools for Splitting, Applying and Combining Data
A set of tools that solves a common set of problems: you need to break a big problem down into mana ...
Download / Learn more Package Citations See dependency  
gena  
Genetic Algorithm and Particle Swarm Optimization
Implements genetic algorithm and particle swarm algorithm for real-valued functions. Various modific ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

26,293

R Packages

225,784

Dependencies

70,376

Author Associations

26,294

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA