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EffectTreat

1.1Package record

Prediction of Therapeutic Success

0packages depend
2.7Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Wim Van der Elst <Wim.vanderelst@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Wim",
                      family = "Van der Elst",
                      role = c("aut", "cre"),
                      email = "wim.vanderelst@gmail.com"),
               person(given = c("Ariel", "Alonso", "&", "Geert"),
                      family = "Molenberghs",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 1.0 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1
READMENoVignettesNoNEWSYes · 33% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
16 (1 internal)
Examples that run
100%14 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
88%

Downloads

2.7K
CRAN downloads in the past year
Rank #17,219 · ~7/day · ~223/mo
Daily download trend is not available in this view yet.
29230 days
73990 days
2.7K1 year
Compare downloads with other packages →
Also on495 r2u8 autocran83 c2d4u

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing EffectTreat adds no packages beyond those that come with R.

Depends (0)
none
Imports (1)
methods
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (3)

Maintainer since 0.1-1 (2014)

Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1Latest
    record
    2020-07-04 · current release · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0
    record
    2019-11-10 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.4
    record
    2018-09-19 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 0.3
    record
    2017-01-27 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 0.2
    record
    2015-07-07 · diff ↗
Show 4 earlier eventsHide 4 earlier events
  • 0.1-11
    record
    2015-04-27 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 0.1-1
    record
    2014-12-11
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-12-11
Total releases
7 / 12 yrs
License
GPL (>= 2) OSI
Bundled data
2.8 KB / 1 file
Download size
22 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EffectTreat")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for EffectTreat version 1.1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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