Package: squant 1.1.7
YAN SUN
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:
squant_1.1.7.tar.gz
squant_1.1.7.tar.gz(r-4.5-noble)squant_1.1.7.tar.gz(r-4.4-noble)
squant_1.1.7.tgz(r-4.4-emscripten)squant_1.1.7.tgz(r-4.3-emscripten)
squant.pdf |squant.html✨
squant/json (API)
| # Install 'squant' in R: |
| install.packages('squant', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:bac1e2d945. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-linux | OK | Nov 19 2024 |
Exports:eval_squantsquant
Dependencies:clicodetoolscolorspacefansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalesshapesurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| SQUANT performance evaluation | eval_squant |
| Plot eval_squant result | plot.eval_squant |
| Plot SQUANT result | plot.squant |
| SQUANT prediction | predict.squant |
| The SQUANT method | squant |