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)squant_1.1.7.zip(r-4.6)squant_1.1.7.zip(r-4.5)
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✨
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 207 downloads 2 exports 27 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK146
source / vignettesOK219
linux-release-x86_64OK145
macos-release-arm64OK233
macos-oldrel-arm64OK175
windows-develOK146
windows-releaseOK135
windows-oldrelOK124
wasm-releaseOK102

Exports:eval_squantsquant

Dependencies:clicodetoolscpp11farverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecycleMatrixR6RColorBrewerRcppRcppEigenrlangS7scalesshapesurvivalvctrsviridisLitewithr