sequential_groups: Calculates all sequential candidate groups below max_size.

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

Calculates all sequential candidate groups below max_size.

Description

Calculates all sequential candidate groups below max_size.

Usage

sequential_groups(
  samples = NULL,
  susie_alphas = NULL,
  q = 0,
  max_pep = 1,
  max_size = 25,
  prenarrow = TRUE
)

Arguments

samples	(N,p)-shaped matrix of posterior samples where a nonzero value indicates the presence of a signal.
susie_alphas	As an alternative to posterior samples, users may specify an L x p matrix of alphas from a SuSiE object. However, calling susie_groups is recommended instead.
q	The nominal level at which to control the error rate (optional)
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.