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 |

http://bioinformatica.mty.itesm.mx/valorate |

**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

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
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