susie_groups: Creates candidate groups based on a SuSiE model

In amspector100/blipr: A Bayesian Linear Program for resolution-adaptive signal detection

Creates candidate groups based on a SuSiE model

Description

Creates candidate groups based on a SuSiE model

Usage

susie_groups(alphas, X, q, max_pep = 1, max_size = 25, prenarrow = TRUE)

Arguments

alphas	An L x p matrix of alphas from a SuSiE object.
X	the N x p design matrix. If not NULL, will also add hierarchical groups based on a correlation cluster of X.
q	The nominal level at which to control the error rate
max_pep	The maximum posterior error probability (PEP) allowed in a candidate group. Default is 1.
max_size	maximum allowable size for each group.
prenarrow	If true, prenarrows the candidate groups as described in the paper. Defaults to TRUE.

amspector100/blipr documentation built on June 22, 2022, 2:43 a.m.