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) for further details.


TreatmentSelection

This R package includes a suite of descriptive and inferential methods designed to evaluate one or more biomarkers for their ability to guide patient treatment recommendations. relevant functions are:

  • trtsel_measures for evaluating the performance of a user-specified marker-based treatment rule
  • trtsel for creating trtsel objects
  • plot.trtsel for plotting risk curves and more
  • evaluate.trtsel for evaluating marker performance
  • calibrate.trtsel for assessing model calibration
  • compare.trtsel to compare two trtsel objects.

To dowload the package from CRAN, type:

install.packages("TreatmentSelection")

To download and install the most recent version of the package directly from github, type:

if (!require("devtools")) install.packages("devtools")
devtools::install_github("TreatmentSelection", "mdbrown")

A manuscript describing the methods employed in the package can be found here and a brief tutorial is available here.

Reference manual

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install.packages("TreatmentSelection")

2.1.1 by Marshall Brown, 9 years ago


http://rpubs.com/mdbrown/TreatmentSelection


Browse source code at https://github.com/cran/TreatmentSelection


Authors: Marshall Brown and Holly Janes


Documentation:   PDF Manual  


GPL-3 license


Imports ggplot2, survival, binom, grid


See at CRAN