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valorate
View on CRAN: Click
here
Download and install valorate package within the R console
Install from CRAN:
install.packages("valorate")
Install from Github:
library("remotes")
install_github("cran/valorate")
Install by package version:
library("remotes")
install_version("valorate", "1.0-1")
Attach the package and use:
library("valorate")
Maintained by
Victor Trevino
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-02
Latest Update: 2016-10-09
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 <http://bioinformatica.mty.itesm.mx/valorate>.
How to cite:
Victor Trevino (2016). valorate: Velocity and Accuracy of the LOg-RAnk TEst. R package version 1.0-1, https://cran.r-project.org/web/packages/valorate
Previous versions and publish date:
1.0-0 (2016-10-02 22:54)
Other packages that cited valorate R package
View valorate citation profile
Other R packages that valorate depends,
imports, suggests or enhances
Functions, R codes and Examples using
the valorate R package
Some associated functions: New_Valorate . prepare.n1 . valorate-internal . valorate.p.value . valorate.plot.empirical . valorate.plot.kaplan . valorate.plot.sampling.densities . valorate.plot.subpop . valorate.risk . valorate.survdiff .
Some associated R codes: valorate.R . Full valorate package functions and examples
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