Package: ccLRforR 1.1
Damianos Michaelides
ccLRforR: Case-Control Likelihood Ratio (ccLR)
Implementation of case-control data analysis using likelihood ratio approaches and logistic regression for the classification of variants of uncertain significance (VUS) in breast, ovarian, or custom cancer susceptibility genes.
Authors:
ccLRforR_1.1.tar.gz
ccLRforR_1.1.tar.gz(r-4.6-arm64)ccLRforR_1.1.tar.gz(r-4.6-x86_64)ccLRforR_1.1.tar.gz(r-4.5-arm64)ccLRforR_1.1.tar.gz(r-4.5-x86_64)
ccLRforR_1.1.tgz(r-4.5-emscripten)
ccLRforR.pdf |ccLRforR.html✨
ccLRforR/json (API)
| # Install 'ccLRforR' in R: |
| install.packages('ccLRforR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Antoniou - Breast and Ovarian Cancer Risk Rates: Dorling et al.
- Dorling - Breast and Ovarian Cancer Risk Rates: Dorling et al.
- Fortuno - Breast and Ovarian Cancer Risk Rates: Dorling et al.
- Hall - Breast and Ovarian Cancer Risk Rates: Dorling et al.
- incidence_data - Age-specific population incidence rates for breast and ovarian cancer
- Kuchenbaecker - Breast and Ovarian Cancer Risk Rates: Dorling et al.
- Li - Breast and Ovarian Cancer Risk Rates: Dorling et al.
- Momozawa - Breast and Ovarian Cancer Risk Rates: Dorling et al.
- Yang - Breast and Ovarian Cancer Risk Rates: Dorling et al.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6143aece2d. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 109 | ||
| linux-devel-x86_64 | OK | 122 | ||
| source / vignettes | OK | 177 | ||
| linux-release-arm64 | OK | 119 | ||
| linux-release-x86_64 | OK | 115 | ||
| wasm-release | OK | 101 |
Exports:ccLR.gridccLR.impps4.ccLRps4.logistic
Dependencies:clicpp11dplyrgenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6Rcpprlangstringistringrtibbletidyrtidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Refined Case-Control Likelihood Ratio (ccLR) Analysis for performing Grid Search by Scaling the Relative Risk | ccLR.grid |
| Case-Control Likelihood Ratio (ccLR) Analysis for Imputed Genotype Data | ccLR.imp |
| Case-Control Likelihood Ratio (ccLR) | ccLRforR-package ccLRforR |
| Age-specific population incidence rates for breast and ovarian cancer | incidence_data |
| Case-Control Likelihood Ratio (ccLR) Analysis | ps4.ccLR |
| Logistic Regression PS4 Criterion | ps4.logistic |
| Breast and Ovarian Cancer Risk Rates: Dorling et al. (2021), Kuchenbaecker et al. (2017), Antoniou et al. (2003), Fortuno et al. (2024), Li et al. (2022), Hall et al. (2021), Yang et al. (2020), and Momozawa et al. (2022) | Antoniou Dorling Fortuno Hall Kuchenbaecker Li Momozawa risk_rates Yang |
