scattered_extremes_onexi: scattered_extremes_onexi function

In azolling/EBmodules:

Description

This function is used to discriminate between scattered and non scattered genes. It fits a mixture of GPD distributions with a common xi.

Usage

scattered_extremes_onexi(T, quantile_T = 0.9, hessian = FALSE)

Arguments

T	statistic whose tail/most extremes values should be the scattered genes for the most part
quantile_T	is the threshold that we choose for the tail
hessian	bolean to indicate whether we want to compute the standard deviation of the parameters

Details

here we consider that xi1=xi2 for a better estimation of this parameter

Value

scattered gives the name of the scattered genes, the value of the parameters and if hessian is TRUE, their standard error

azolling/EBmodules documentation built on May 11, 2019, 5:17 p.m.