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valorate (version 1.0-5)

Velocity and Accuracy of the LOg-RAnk TEst

Description

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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Version

Install

install.packages('valorate')

Monthly Downloads

128

Version

1.0-5

License

GPL (>= 2)

Maintainer

Victor Trevino

Last Published

March 27th, 2025

Functions in valorate (1.0-5)

valorate.random.n1

ESTIMATES THE LOG-RANK DISTRIBUTION OF RANDOM VECTORS
prepare.n1

ESTIMATES THE LOG-RANK DISTRIBUTION AND STORE IT WITHIN A VALORATE OBJECT
valorate.plot.kaplan

PLOT KAPLAN-MEIER CURVES
valorate.plot.sampling.densities

PLOT CO-OCCURRENCE DENSITIES FORMING A LOG-RANK DISTRIBUTION
valorate.p.value

ESTIMATES THE P-VALUE OF THE LOG-RANK TEST
valorate.risk

ESTIMATES RISK
valorate.plot.subpop

PLOT ALL ESTIMATED LOG-RANK DISTRIBUTIONS
valorate.plot.empirical

PLOT THE SAMPLED (EMPIRICAL) LOG-RANK DISTRIBUTION
valorate-internal

Internal VALORATE Functions
new.valorate

CREATE A VALORATE OBJECT
valorate.survdiff

ESTIMATES THE P-VALUE AND STATISTICS OF THE LOG-RANK TEST