Package: valorate 1.0-1
valorate: Velocity and Accuracy of the LOg-RAnk TEst
The algorithm implemented in this package was designed to quickly estimates the distribution of the log-rank especially for heavy unbalanced groups. VALORATE estimates the null distribution and the p-value of the log-rank test based on a recent formulation. For a given number of alterations that define the size of survival groups, the estimation involves a weighted sum of distributions that are conditional on a co-occurrence term where mutations and events are both present. The estimation of conditional distributions is quite fast allowing the analysis of large datasets in few minutes <http://bioinformatica.mty.itesm.mx/valorate>.
Authors:
valorate_1.0-1.tar.gz
valorate_1.0-1.zip(r-4.5)valorate_1.0-1.zip(r-4.4)valorate_1.0-1.zip(r-4.3)
valorate_1.0-1.tgz(r-4.4-x86_64)valorate_1.0-1.tgz(r-4.4-arm64)valorate_1.0-1.tgz(r-4.3-x86_64)valorate_1.0-1.tgz(r-4.3-arm64)
valorate_1.0-1.tar.gz(r-4.5-noble)valorate_1.0-1.tar.gz(r-4.4-noble)
valorate_1.0-1.tgz(r-4.4-emscripten)valorate_1.0-1.tgz(r-4.3-emscripten)
valorate.pdf |valorate.html✨
valorate/json (API)
| # Install 'valorate' in R: |
| install.packages('valorate', repos = c('https://vtrevino.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 8 years agofrom:bd40ce2d0f. Checks:OK: 7 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win-x86_64 | NOTE | Oct 27 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 27 2024 |
| R-4.4-win-x86_64 | OK | Oct 27 2024 |
| R-4.4-mac-x86_64 | OK | Oct 27 2024 |
| R-4.4-mac-aarch64 | OK | Oct 27 2024 |
| R-4.3-win-x86_64 | OK | Oct 27 2024 |
| R-4.3-mac-x86_64 | OK | Oct 27 2024 |
| R-4.3-mac-aarch64 | OK | Oct 27 2024 |
Exports:new.valorateprepare.n1valorate.estimate.beta.parametersvalorate.estimate.weibull.parametersvalorate.p.value.allvalorate.p.value.betavalorate.p.value.chisqvalorate.p.value.gaussianvalorate.p.value.normalvalorate.p.value.samplingvalorate.p.value.weibullvalorate.plot.diff.empiricalvalorate.plot.empiricalvalorate.plot.kaplanvalorate.plot.sampling.densitiesvalorate.plot.sampling.densities.figurevalorate.plot.subpop.empiricalvalorate.plot.subpop.empirical.scaledvalorate.plot.subpop.empirical.to.0valorate.psurvdiffvalorate.riskvalorate.survdiff
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| CREATE A VALORATE OBJECT | new.valorate valorate |
| ESTIMATES THE LOG-RANK DISTRIBUTION AND STORE IT WITHIN A VALORATE OBJECT | prepare.n1 |
| ESTIMATES THE P-VALUE OF THE LOG-RANK TEST | valorate.p.value valorate.p.value.all valorate.p.value.beta valorate.p.value.chisq valorate.p.value.gaussian valorate.p.value.normal valorate.p.value.sampling valorate.p.value.weibull |
| PLOT THE SAMPLED (EMPIRICAL) LOG-RANK DISTRIBUTION | valorate.plot.empirical |
| PLOT KAPLAN-MEIER CURVES | valorate.plot.kaplan |
| PLOT CO-OCCURRENCE DENSITIES FORMING A LOG-RANK DISTRIBUTION | valorate.plot.sampling.densities valorate.plot.sampling.densities.figure |
| PLOT ALL ESTIMATED LOG-RANK DISTRIBUTIONS | valorate.plot.subpop. valorate.plot.subpop.empirical valorate.plot.subpop.empirical.scaled valorate.plot.subpop.empirical.to.0 |
| ESTIMATES RISK | valorate.risk |
| ESTIMATES THE P-VALUE AND STATISTICS OF THE LOG-RANK TEST | valorate.survdiff |
