Package: cgAUC 1.2.1
cgAUC: Calculate AUC-type measure when gold standard is continuous and the corresponding optimal linear combination of variables with respect to it.
The cgAUC can calculate the AUC-type measure of Obuchowski(2006) when gold standard is continuous, and find the optimal linear combination of variables with respect to this measure.
Authors:
cgAUC_1.2.1.tar.gz
cgAUC_1.2.1.zip(r-4.5)cgAUC_1.2.1.zip(r-4.4)cgAUC_1.2.1.zip(r-4.3)
cgAUC_1.2.1.tgz(r-4.4-x86_64)cgAUC_1.2.1.tgz(r-4.4-arm64)cgAUC_1.2.1.tgz(r-4.3-x86_64)cgAUC_1.2.1.tgz(r-4.3-arm64)
cgAUC_1.2.1.tar.gz(r-4.5-noble)cgAUC_1.2.1.tar.gz(r-4.4-noble)
cgAUC_1.2.1.tgz(r-4.4-emscripten)cgAUC_1.2.1.tgz(r-4.3-emscripten)
cgAUC.pdf |cgAUC.html✨
cgAUC/json (API)
| # Install 'cgAUC' in R: |
| install.packages('cgAUC', repos = c('https://curare7177.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 10 years agofrom:4d4725a7c8. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 24 2024 |
| R-4.5-win-x86_64 | NOTE | Aug 24 2024 |
| R-4.5-linux-x86_64 | NOTE | Aug 24 2024 |
| R-4.4-win-x86_64 | NOTE | Aug 24 2024 |
| R-4.4-mac-x86_64 | NOTE | Aug 24 2024 |
| R-4.4-mac-aarch64 | NOTE | Aug 24 2024 |
| R-4.3-win-x86_64 | NOTE | Aug 24 2024 |
| R-4.3-mac-x86_64 | NOTE | Aug 24 2024 |
| R-4.3-mac-aarch64 | NOTE | Aug 24 2024 |
Exports:c_cntinc_d_theta_sh_h_pc_dscrtc_s_hcgAUCoptimal.delta
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate AUC when gold standard is continuous with large variables. | cgAUC-package |
| c_cntin | c_cntin |
| c_d_theta_sh_h_p | c_d_theta_sh_h_p |
| c_dscrt | c_dscrt |
| c_s_h | c_s_h |
| Calculate AUC when gold standard is continuous with large variables. | cgAUC |
| optimal.delta | optimal.delta |
