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
aVirtualTwins_1.0.1.zip(r-4.7-any)aVirtualTwins_1.0.1.zip(r-4.6-any)aVirtualTwins_1.0.1.zip(r-4.5-any)
aVirtualTwins_1.0.1.tgz(r-4.6-any)aVirtualTwins_1.0.1.tgz(r-4.5-any)
aVirtualTwins_1.0.1.tar.gz(r-4.7-any)aVirtualTwins_1.0.1.tar.gz(r-4.6-any)
aVirtualTwins_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

subgroup-identification trials

4.63 score 5 stars 17 scripts 364 downloads 12 exports 18 dependencies

Last updated from:6d905c9778. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	150
source / vignettes	OK	200
linux-release	OK	128
macos-release	OK	168
macos-oldrel	OK	208
windows-devel	OK	112
windows-release	OK	94
windows-oldrel	OK	102
wasm-release	OK	102

Exports:formatRCTDataset vt.data VT.difft vt.forest VT.forest.double VT.forest.fold VT.forest.one VT.object vt.subgroups vt.tree VT.tree.class VT.tree.reg

Dependencies:codetools coin lattice libcoin MASS Matrix matrixStats modeltools multcomp mvtnorm party randomForest rpart sandwich strucchange survival TH.data zoo

Virtual Twins Examples

Introduction | Quick preview | Method | First Step | Second Step | Sepsis dataset | Create object VirtualTwins | Step 1 : compute $\hat{P_{1i}}$ and $\hat{P_{0i}}$ | Simple Random Forest | Double Random Forest | K Fold Random Forest | Build Your Own Model | Step 2 : Estimate a Regression or Classification Tree | Classification | Regression | Subgroups and results | Questions

Rendered fromfull-example.Rmdusingknitr::rmarkdown

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
aVirtualTwins : An adapation of VirtualTwins method created by Jared Foster.	aVirtualTwins-package aVirtualTwins
RCT format for Virtual Twins	formatRCTDataset
Clinical Trial for Sepsis desease	sepsis
Initialize virtual twins data	vt.data
Difference between twins	VT.difft
Create forest to compute difft	vt.forest
Difft by Random Forest	VT.forest
Difft by double random forest	VT.forest.double
Difft via k random forests	VT.forest.fold
Difft by one random forest	VT.forest.one
VT.object	VT.object
VT.predict generic function	VT.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 subgroups	vt.subgroups
Trees to find Subgroups	vt.tree
Tree to find subgroup	VT.tree
Classification tree to find subgroups	VT.tree.class
Regression tree to find subgroups	VT.tree.reg