IBSS: Iterative Bayesian stepwise selection

In statwangz/SuSiE: A simple new approach to variable selection in regression, with application to genetic fine-mapping

Iterative Bayesian stepwise selection

Description

Iterative Bayesian stepwise selection

Usage

IBSS(
  X,
  y,
  L = 3,
  pi0 = NULL,
  sig2 = 10,
  sig02 = 0.1,
  tol = 1e-05,
  iter_max = 1000
)

Arguments

X	SNPs, a n*p matrix.
y	trait, a n*1 vector.
L	number of the compoments of the effect variables.
pi0	hyperparameter of the prior distribution of gamma.
sig2	hyperparameter, the variance of the trait y.
sig02	hyperparameter, the variance of the coefficient.
tol	convergence criterion。
iter_max	the max number of the iteration.

Value

the SER result of each compoment and the PIP in each iteration.

statwangz/SuSiE documentation built on Nov. 22, 2022, 5:21 p.m.