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TreatmentSelection
View on CRAN: Click
here
Download and install TreatmentSelection package within the R console
Install from CRAN:
install.packages("TreatmentSelection")
Install from Github:
library("remotes")
install_github("cran/TreatmentSelection")
Install by package version:
library("remotes")
install_version("TreatmentSelection", "2.1.1")
Attach the package and use:
library("TreatmentSelection")
Maintained by
Marshall Brown
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.TreatmentSelection . http://rpubs.com/mdbrown/TreatmentSelection . TreatmentSelection results . TreatmentSelection.pdf . TreatmentSelection_2.1.1.tar.gz . TreatmentSelection_2.1.1.zip . TreatmentSelection_2.1.1.zip . TreatmentSelection_2.1.1.zip . TreatmentSelection_2.1.1.tgz . TreatmentSelection_2.1.1.tgz . TreatmentSelection_2.1.1.tgz . TreatmentSelection_2.1.1.tgz . TreatmentSelection_2.1.1.tgz . TreatmentSelection_2.1.1.tgz . TreatmentSelection archive . https://CRAN.R-project.org/package=TreatmentSelection .
First Published: 2014-04-07
Latest Update: 2017-08-11
Description:
A suite of descriptive and inferential methods designed to evaluate one or more biomarkers for their ability to guide patient treatment recommendations.Package includes functions to assess the calibration of risk models; and plot, evaluate, and compare markers. Please see the reference Janes H, Brown MD, Huang Y, et al. (2014) <doi:10.1515/ijb-2012-0052> for further details.
How to cite:
Marshall Brown (2014). TreatmentSelection: Evaluate Treatment Selection Biomarkers. R package version 2.1.1, https://cran.r-project.org/web/packages/TreatmentSelection. Accessed 29 Mar. 2025.
Previous versions and publish date:
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Other R packages that TreatmentSelection depends,
imports, suggests or enhances
Complete documentation for TreatmentSelection
Functions, R codes and Examples using
the TreatmentSelection R package
Some associated functions: TreatmentSelection-package . calibrate . calibrate.trtsel . compare . compare.trtsel . evaluate . evaluate.trtsel . is.trtsel . plot.trtsel . print.calibrate.trtsel . print.compare.trtsel . print.eval.trtsel . print.trtsel . print.trtsel_summary_measures . surv_tsdata . trtsel . trtsel_measures . tsdata . tsdata_cc . tsdata_scc .
Some associated R codes: CDFdeltaPLOT.R . EventRateVec.R . SelectionImpactPLOT_gg.R . TreatmentSelection-package.R . boot.sample.R . calibrate.trtsel.R . compare.trtsel.R . estimate_measures.R . evaluate.trtsel.R . get.F.R . get.coef.R . get.plot.ci.R . get.risk.R . get.summary.measures.R . is.trtsel.R . myplotcompare.trtsel.R . one.boot.compare.R . one.boot.eval.R . one.boot.plot.R . plot.trtsel.R . predcurvePLOT.R . print.trtsel.R . subroutines.R . test.Null.R . timetoevent_subroutines.R . trteffectPLOT.R . trtsel.R . trtsel.boot.R . Full TreatmentSelection package functions and examples
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