SAIGE-GPU: Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)

sourceCpp(system.file("tests/cpp/sum.cpp", package = "RcppParallel"))

test.sum <- function() {
   
   v <- as.numeric(c(1:10000000))
   
   checkEquals(
      vectorSum(v), 
      parallelVectorSum(v)
   )
}

arodri7/SAIGE-GPU documentation built on Nov. 14, 2020, 5:44 a.m.

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arodri7/SAIGE-GPU
Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)

lib/RcppParallel/tests/runit.sum.R
In arodri7/SAIGE-GPU: Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)

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arodri7/SAIGE-GPU Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)

lib/RcppParallel/tests/runit.sum.R In arodri7/SAIGE-GPU: Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)

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We want your feedback!

arodri7/SAIGE-GPU
Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)

lib/RcppParallel/tests/runit.sum.R
In arodri7/SAIGE-GPU: Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)