Package: valorate 1.0-5

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 <https://bioinformatics.mx/index.php/bioinfo-tools/>.

Authors:Victor Trevino [aut, cre]

valorate_1.0-5.tar.gz
valorate_1.0-5.zip(r-4.7)valorate_1.0-5.zip(r-4.6)valorate_1.0-5.zip(r-4.5)
valorate_1.0-5.tgz(r-4.6-x86_64)valorate_1.0-5.tgz(r-4.6-arm64)valorate_1.0-5.tgz(r-4.5-x86_64)valorate_1.0-5.tgz(r-4.5-arm64)
valorate_1.0-5.tar.gz(r-4.7-arm64)valorate_1.0-5.tar.gz(r-4.7-x86_64)valorate_1.0-5.tar.gz(r-4.6-arm64)valorate_1.0-5.tar.gz(r-4.6-x86_64)
valorate_1.0-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
valorate/json (API)

# Install 'valorate' in R:
install.packages('valorate', repos = c('https://vtrevino.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 9 scripts 197 downloads 23 exports 3 dependencies

Last updated from:38add12d02. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK174
linux-devel-x86_64OK144
source / vignettesOK144
linux-release-arm64OK120
linux-release-x86_64OK121
macos-release-arm64OK104
macos-release-x86_64OK252
macos-oldrel-arm64OK99
macos-oldrel-x86_64OK188
windows-develOK101
windows-releaseOK83
windows-oldrelOK118
wasm-releaseOK91

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.random.n1valorate.riskvalorate.survdiff

Dependencies:latticeMatrixsurvival

Readme and manuals

Help Manual

Help pageTopics
CREATE A VALORATE OBJECTnew.valorate valorate
ESTIMATES THE LOG-RANK DISTRIBUTION AND STORE IT WITHIN A VALORATE OBJECTprepare.n1
ESTIMATES THE P-VALUE OF THE LOG-RANK TESTvalorate.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 DISTRIBUTIONvalorate.plot.empirical
PLOT KAPLAN-MEIER CURVESvalorate.plot.kaplan
PLOT CO-OCCURRENCE DENSITIES FORMING A LOG-RANK DISTRIBUTIONvalorate.plot.sampling.densities valorate.plot.sampling.densities.figure
PLOT ALL ESTIMATED LOG-RANK DISTRIBUTIONSvalorate.plot.subpop. valorate.plot.subpop.empirical valorate.plot.subpop.empirical.scaled valorate.plot.subpop.empirical.to.0
ESTIMATES THE LOG-RANK DISTRIBUTION OF RANDOM VECTORSvalorate.random.n1
ESTIMATES RISKvalorate.risk
ESTIMATES THE P-VALUE AND STATISTICS OF THE LOG-RANK TESTvalorate.survdiff