valorate: Velocity and Accuracy of the LOg-RAnk TEst

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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>.

Author
Victor Trevino [aut, cre]
Date of publication
2016-10-09 23:23:03
Maintainer
Victor Trevino <vtrevino@itesm.mx>
License
GPL (>= 2)
Version
1.0-1
URLs

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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

Files in this package

valorate
valorate/src
valorate/src/valorate_samplings.c
valorate/NAMESPACE
valorate/R
valorate/R/valorate.R
valorate/MD5
valorate/DESCRIPTION
valorate/man
valorate/man/prepare.n1.Rd
valorate/man/valorate.survdiff.Rd
valorate/man/valorate.plot.empirical.Rd
valorate/man/valorate.plot.subpop.Rd
valorate/man/New_Valorate.Rd
valorate/man/valorate.risk.Rd
valorate/man/valorate.plot.sampling.densities.Rd
valorate/man/valorate.plot.kaplan.Rd
valorate/man/valorate-internal.Rd
valorate/man/valorate.p.value.Rd