permGPU (version 0.14.9)

permGPU-package: permGPU: Using graphics processing units in RNA microarray association studies.

Description

This package can be used to carry out permutation resampling inference using GPUs. Currently the package supports six test statistics: the t and Wilcoxon tests, for two-sample problems, the Pearson and Spearman statistics, for non-censored continuous outcomes, and the Cox score and rank score test (Jung et al, 2005), for right-censored time-to-event outcomes. In addition to the test statistics and the corresponding marginal permutation P-values, the package produces family-wise error adjusted P-values using a single-step procedure (Westfall and Young, 1993).

Details

Package:	permGPU
Type:	Package
Version:	0.14.6
Date:	2014-07-11
License:	GPL-3
LazyLoad:	yes

~~ An overview of how to use the package, including the most important ~~ ~~ functions ~~

References

Shterev, I.D., Jung, S.-H., George S.L., Owzar K. permGPU: Using graphics processing units in RNA microarray association studies. BMC Bioinformatics 2010, 11:329.

Jung, S.-H., Owzar K., George, S.L. (2005). A multiple testing procedure to associate gene expression levels with survival. Statistics in Medicine. 24(20), 3077--88.

Westfall, P.H. and Young, S.S. (1993). Resampling-Based Multiple Testing: Examples and Methods for P-value Adjustment, Wiley-Interscience, New York.

Examples

# NOT RUN {
### See ? permgpu
# }