Package: TreatmentSelection 2.1.1

TreatmentSelection: Evaluate Treatment Selection Biomarkers

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.

Authors:Marshall Brown and Holly Janes

TreatmentSelection_2.1.1.tar.gz
TreatmentSelection_2.1.1.zip(r-4.7)TreatmentSelection_2.1.1.zip(r-4.6)TreatmentSelection_2.1.1.zip(r-4.5)
TreatmentSelection_2.1.1.tgz(r-4.6-any)TreatmentSelection_2.1.1.tgz(r-4.5-any)
TreatmentSelection_2.1.1.tar.gz(r-4.7-any)TreatmentSelection_2.1.1.tar.gz(r-4.6-any)
TreatmentSelection_2.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TreatmentSelection/json (API)
NEWS

# Install 'TreatmentSelection' in R:

install.packages('TreatmentSelection', repos = c('https://mdbrown.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mdbrown/treatmentselection/issues

Datasets:

surv_tsdata - Sample data for R package TreatmentSelection
tsdata - Sample data for R package TreatmentSelection
tsdata_cc - Sample nested case-control data for R package TreatmentSelection
tsdata_scc - Sample stratified nested case-control data for R package TreatmentSelection

On CRAN:

3.65 score 3 stars 15 scripts 170 downloads 2 mentions 6 exports 21 dependencies

Last updated from:3cc9f213ed. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	139
source / vignettes	OK	162
linux-release-x86_64	NOTE	140
macos-release-arm64	NOTE	181
macos-oldrel-arm64	NOTE	179
windows-devel	NOTE	103
windows-release	NOTE	98
windows-oldrel	NOTE	100
wasm-release	OK	90

Exports:calibrate compare evaluate is.trtsel trtsel trtsel_measures

Dependencies:binom cli cpp11 farver ggplot2 glue gtable isoband labeling lattice lifecycle Matrix R6 RColorBrewer rlang S7 scales survival vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Evaluate markers used to guide patient treatment selection decisions	TreatmentSelection-package TreatmentSelection
method for calibrating trtsel objects	calibrate
assess model calibration of a trtsel object	calibrate.trtsel
method to compare trtsel objects	compare
compare the performance of two treatment selection markers	compare.trtsel
a method for evaluating a trtsel object	evaluate
evaluate the performance of one or more biomarkers for their ability to guide patient treatment recommendations.	evaluate.trtsel
is x a trtsel object?	is.trtsel
plot risk curves, treatment effect curves or cdf of risk for a trtsel object.	plot plot.trtsel
print a trtsel object	print.calibrate.trtsel
print a trtsel object	print.compare.trtsel
print a trtsel object	print.eval.trtsel
print a trtsel object	print.trtsel
print output from 'trtsel_measures'	print.trtsel_summary_measures
sample data for R package TreatmentSelection	surv_tsdata
create a trtsel object	trtsel
a simple function to estimate performance measures for a rule used to select treatment.	trtsel_measures
sample data for R package TreatmentSelection	tsdata
sample nested case-control data for R package TreatmentSelection	tsdata_cc
sample stratified nested case-control data for R package TreatmentSelection	tsdata_scc