test.scoregpu: Conduct permutation resampling analysis using permGPU
In permGPU: Using GPUs in Statistical Genomics
View source: R/test.scoregpu.R
Description
This function can be used to carry our permutation
resampling inference with GPUs. Currently the function 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 tests (Jung et al, 2005), for
right-censored time-to-event outcomes.
Usage
1
Examples
1
permGPU documentation built on Feb. 10, 2021, 5:07 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/test.scoregpu.R
Description
This function can be used to carry our permutation resampling inference with GPUs. Currently the function 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 tests (Jung et al, 2005), for right-censored time-to-event outcomes.
Usage
1 |
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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