Description Usage Arguments Value Examples

Performs GWAS with SLOPE on given snp matrix and phenotype.
At first clumping procedure is performed. Highly correlated
(that is stronger than parameter *rho*) snps are clustered.
Then SLOPE is used on snp matrix which contains
one representative for each clump.

1 2 | ```
select_snps(clumpingResult, fdr = 0.1, type = c("slope", "smt"),
lambda = "gaussian", sigma = NULL, verbose = TRUE)
``` |

`clumpingResult` |
clumpProcedure output |

`fdr, ` |
numeric, False Discovery Rate for SLOPE |

`type` |
method for snp selection. slope (default value) is SLOPE on clump representatives, smt is Benjamini-Hochberg procedure on single marker test p-values for clump representatives |

`lambda` |
lambda for SLOPE. See |

`sigma` |
numeric, sigma for SLOPE |

`verbose` |
logical, if TRUE progress bar is printed |

object of class `selectionResult`

1 2 3 4 | ```
## Not run:
slope.result <- select_snps(clumping.result, fdr=0.1)
## End(Not run)
``` |

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