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
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TreatmentSelection_2.1.1.tgz(r-4.4-any)TreatmentSelection_2.1.1.tgz(r-4.3-any)
TreatmentSelection_2.1.1.tar.gz(r-4.5-noble)TreatmentSelection_2.1.1.tar.gz(r-4.4-noble)
TreatmentSelection_2.1.1.tgz(r-4.4-emscripten)TreatmentSelection_2.1.1.tgz(r-4.3-emscripten)
TreatmentSelection.pdf |TreatmentSelection.html✨
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:

3.62 score 3 stars 14 scripts 153 downloads 2 mentions 6 exports 30 dependencies

Last updated 7 years agofrom:3cc9f213ed. Checks:OK: 3 NOTE: 4. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 04 2024
R-4.5-win	NOTE	Nov 04 2024
R-4.5-linux	NOTE	Nov 04 2024
R-4.4-win	NOTE	Nov 04 2024
R-4.4-mac	NOTE	Nov 04 2024
R-4.3-win	OK	Nov 04 2024
R-4.3-mac	OK	Nov 04 2024

Exports:calibrate compare evaluate is.trtsel trtsel trtsel_measures

Dependencies:binom cli colorspace fansi farver ggplot2 glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig R6 RColorBrewer rlang scales survival tibble utf8 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