Package: aVirtualTwins 1.0.1

aVirtualTwins: Adaptation of Virtual Twins Method from Jared Foster

Research of subgroups in random clinical trials with binary outcome and two treatments groups. This is an adaptation of the Jared Foster method (<https://www.ncbi.nlm.nih.gov/pubmed/21815180>).

Authors:Francois Vieille [aut, cre], Jared Foster [aut]

aVirtualTwins_1.0.1.tar.gz
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aVirtualTwins.pdf |aVirtualTwins.html✨
aVirtualTwins/json (API)

# Install 'aVirtualTwins' in R:
install.packages('aVirtualTwins', repos = c('https://prise6.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/prise6/avirtualtwins/issues

Datasets:
  • sepsis - Clinical Trial for Sepsis desease

On CRAN:

Conda-Forge:

subgroup-identificationtrials

4.51 score 4 stars 16 scripts 235 downloads 12 exports 18 dependencies

Last updated 7 years agofrom:e78be83e6e. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 06 2025
R-4.5-winOKFeb 06 2025
R-4.5-macOKFeb 06 2025
R-4.5-linuxOKFeb 06 2025
R-4.4-winOKFeb 06 2025
R-4.4-macOKFeb 06 2025
R-4.3-winOKFeb 06 2025
R-4.3-macOKFeb 06 2025

Exports:formatRCTDatasetvt.dataVT.difftvt.forestVT.forest.doubleVT.forest.foldVT.forest.oneVT.objectvt.subgroupsvt.treeVT.tree.classVT.tree.reg

Dependencies:codetoolscoinlatticelibcoinMASSMatrixmatrixStatsmodeltoolsmultcompmvtnormpartyrandomForestrpartsandwichstrucchangesurvivalTH.datazoo

Virtual Twins Examples

Francois Vieille

Rendered fromfull-example.Rmdusingknitr::rmarkdownon Feb 06 2025.

Last update: 2016-10-09
Started: 2015-06-21

Readme and manuals

Help Manual

Help pageTopics
aVirtualTwins : An adapation of VirtualTwins method created by Jared Foster.aVirtualTwins-package aVirtualTwins
RCT format for Virtual TwinsformatRCTDataset
Clinical Trial for Sepsis deseasesepsis
Initialize virtual twins datavt.data
Difference between twinsVT.difft
Create forest to compute difftvt.forest
Difft by Random ForestVT.forest
Difft by double random forestVT.forest.double
Difft via k random forestsVT.forest.fold
Difft by one random forestVT.forest.one
VT.objectVT.object
VT.predict generic functionVT.predict VT.predict,RandomForest,data.frame,character-method VT.predict,randomForest,data.frame,character-method VT.predict,RandomForest,missing,character-method VT.predict,randomForest,missing,character-method VT.predict,train,ANY,character-method VT.predict,train,missing,character-method
Visualize subgroupsvt.subgroups
Trees to find Subgroupsvt.tree
Tree to find subgroupVT.tree
Classification tree to find subgroupsVT.tree.class
Regression tree to find subgroupsVT.tree.reg