Calculates the p-value representing the association of the set with the phenotype of interest.

1 2 | ```
vegasMarginal(pvals, ld_matrix, num_sims, correction = TRUE, seed = NULL,
verbose = FALSE)
``` |

`pvals` |
A vector of p-values corresponding to items in the set. |

`ld_matrix` |
A square, symmetric matrix of LD values, with each row and column corresponding to each of the items in the set. The diagonal entries should be 1, indicating the LD between an item in the set and itself is 1. |

`num_sims` |
An integer value for the number of simulations to be performed. |

`correction` |
A logical argument indicating whether a value of one should be added to the numerator when calculating the p-value based upon the simulated statistics. By default, the correction is added. An argument of FALSE will not add one to the numerator. |

`seed` |
An integer argument indicating what the random seed should be set to. This allows for replication of results. The default is NULL, and a random seed will be set internally. |

`verbose` |
A logical argument indicating whether periodic output should be printed. Defaults to FALSE, indicating no output will be printed. |

This is a helper function to calculate the p-value for a set
of SNPs that reside within a gene set collection. The
correlation among the SNPs is taken into account by the LD
matrix. The resulting p-value is calculated from a null
distribution that is simulated `num_sims`

times based upon
the specified correlation structure.

A `VEGASResult`

object with the corresponding
VEGAS results.

Caitlin McHugh mchughc@uw.edu

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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