valorate: Velocity and Accuracy of the LOg-RAnk TEst
Version 1.0-1

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 .

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AuthorVictor Trevino [aut, cre]
Date of publication2016-10-09 23:23:03
MaintainerVictor Trevino <vtrevino@itesm.mx>
LicenseGPL (>= 2)
Version1.0-1
URL http://bioinformatica.mty.itesm.mx/valorate
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("valorate")

Man pages

New_Valorate: CREATE A VALORATE OBJECT
prepare.n1: ESTIMATES THE LOG-RANK DISTRIBUTION AND STORE IT WITHIN A...
valorate-internal: Internal VALORATE Functions
valorate.plot.empirical: PLOT THE SAMPLED (EMPIRICAL) LOG-RANK DISTRIBUTION
valorate.plot.kaplan: PLOT KAPLAN-MEIER CURVES
valorate.plot.sampling.densities: PLOT CO-OCCURRENCE DENSITIES FORMING A LOG-RANK DISTRIBUTION
valorate.plot.subpop: PLOT ALL ESTIMATED LOG-RANK DISTRIBUTIONS
valorate.p.value: ESTIMATES THE P-VALUE OF THE LOG-RANK TEST
valorate.risk: ESTIMATES RISK
valorate.survdiff: ESTIMATES THE P-VALUE AND STATISTICS OF THE LOG-RANK TEST

Functions

new.valorate Man page Source code
plot.kaplan.valorate Man page Source code
prepare.n1 Man page Source code
valorate Man page
valorate.cat Man page Source code
valorate.comb Man page Source code
valorate.estimate.beta.parameters Man page Source code
valorate.estimate.weibull.parameters Man page Source code
valorate.hyper.density Man page Source code
valorate.mav Man page Source code
valorate.p.overlap Man page Source code
valorate.p.value Man page
valorate.p.value.all Man page Source code
valorate.p.value.beta Man page Source code
valorate.p.value.chisq Man page Source code
valorate.p.value.gaussian Man page Source code
valorate.p.value.normal Man page Source code
valorate.p.value.sampling Man page Source code
valorate.p.value.weibull Man page Source code
valorate.perm Man page Source code
valorate.plot.diff.empirical Man page Source code
valorate.plot.empirical Man page Source code
valorate.plot.kaplan Man page Source code
valorate.plot.sampling.densities Man page Source code
valorate.plot.sampling.densities.figure Man page Source code
valorate.plot.subpop. Man page
valorate.plot.subpop.empirical Man page Source code
valorate.plot.subpop.empirical.scaled Man page Source code
valorate.plot.subpop.empirical.to.0 Man page Source code
valorate.psurvdiff Man page Source code
valorate.risk Man page Source code
valorate.survdiff Man page Source code

Files

src
src/valorate_samplings.c
NAMESPACE
R
R/valorate.R
MD5
DESCRIPTION
man
man/prepare.n1.Rd
man/valorate.survdiff.Rd
man/valorate.plot.empirical.Rd
man/valorate.plot.subpop.Rd
man/New_Valorate.Rd
man/valorate.risk.Rd
man/valorate.plot.sampling.densities.Rd
man/valorate.plot.kaplan.Rd
man/valorate-internal.Rd
man/valorate.p.value.Rd
valorate documentation built on May 29, 2017, 11:53 a.m.