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squant  

Subgroup Identification Based on Quantitative Objectives
View on CRAN: Click here


Download and install squant package within the R console
Install from CRAN:
install.packages("squant")

Install from Github:
library("remotes")
install_github("cran/squant")

Install by package version:
library("remotes")
install_version("squant", "1.1.7")



Attach the package and use:
library("squant")
Maintained by
YAN SUN
[Scholar Profile | Author Map]
First Published: 2022-01-28
Latest Update: 2022-01-28
Description:
A subgroup identification method for precision medicine based on quantitative objectives. This method can handle continuous, binary and survival endpoint for both prognostic and predictive case. For the predictive case, the method aims at identifying a subgroup for which treatment is better than control by at least a pre-specified or auto-selected constant. For the prognostic case, the method aims at identifying a subgroup that is at least better than a pre-specified/auto-selected constant. The derived signature is a linear combination of predictors, and the selected subgroup are subjects with the signature > 0. The false discover rate when no true subgroup exists is strictly controlled at a user-specified level.
How to cite:
YAN SUN (2022). squant: Subgroup Identification Based on Quantitative Objectives. R package version 1.1.7, https://cran.r-project.org/web/packages/squant. Accessed 21 Apr. 2025.
Previous versions and publish date:
1.1.4 (2022-01-28 10:10), 1.1.5 (2024-06-03 05:20)
Other packages that cited squant R package
View squant citation profile
Other R packages that squant depends, imports, suggests or enhances
Complete documentation for squant
Functions, R codes and Examples using the squant R package
Some associated functions: eval_squant . plot.eval_squant . plot.squant . predict.squant . squant . 
Some associated R codes: SQUANT.R . SQUANT_general.R . SQUANT_pred.R . SQUANT_prog.R .  Full squant package functions and examples
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