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-4.7)cgAUC_1.2.1.zip(r-4.6)cgAUC_1.2.1.zip(r-4.5)
cgAUC_1.2.1.tgz(r-4.6-x86_64)cgAUC_1.2.1.tgz(r-4.6-arm64)cgAUC_1.2.1.tgz(r-4.5-x86_64)cgAUC_1.2.1.tgz(r-4.5-arm64)
cgAUC_1.2.1.tar.gz(r-4.7-arm64)cgAUC_1.2.1.tar.gz(r-4.7-x86_64)cgAUC_1.2.1.tar.gz(r-4.6-arm64)cgAUC_1.2.1.tar.gz(r-4.6-x86_64)
cgAUC_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:4d4725a7c8. Checks:11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 100 | ||
| linux-devel-x86_64 | NOTE | 109 | ||
| source / vignettes | OK | 162 | ||
| linux-release-arm64 | NOTE | 100 | ||
| linux-release-x86_64 | NOTE | 100 | ||
| macos-release-arm64 | NOTE | 150 | ||
| macos-release-x86_64 | NOTE | 258 | ||
| macos-oldrel-arm64 | NOTE | 207 | ||
| macos-oldrel-x86_64 | NOTE | 282 | ||
| windows-devel | NOTE | 115 | ||
| windows-release | NOTE | 88 | ||
| windows-oldrel | NOTE | 85 | ||
| wasm-release | OK | 91 |
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 |
