Package: squant 1.1.7

squant: Subgroup Identification Based on Quantitative Objectives

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 controlled at a user-specified level.

Authors:YAN SUN [aut, cre, cph], LING CHENG [aut], A.S. HEDAYAT [aut]

squant_1.1.7.tar.gz
squant_1.1.7.zip(r-4.7-any)squant_1.1.7.zip(r-4.6-any)squant_1.1.7.zip(r-4.5-any)
squant_1.1.7.tgz(r-4.6-any)squant_1.1.7.tgz(r-4.5-any)
squant_1.1.7.tar.gz(r-4.7-any)squant_1.1.7.tar.gz(r-4.6-any)
squant_1.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
squant/json (API)

# Install 'squant' in R:
install.packages('squant', repos = c('https://ys-statcode.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 265 downloads 2 exports 27 dependencies

Last updated from:bac1e2d945. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK139
source / vignettesOK152
linux-releaseOK144
macos-releaseOK260
macos-oldrelOK278
windows-develOK123
windows-releaseOK108
windows-oldrelOK114
wasm-releaseOK125

Exports:eval_squantsquant

Dependencies:clicodetoolscpp11farverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecycleMatrixR6RColorBrewerRcppRcppEigenrlangS7scalesshapesurvivalvctrsviridisLitewithr