Grace_multi_knockoff: Function to conduct Grace-AKO and Grace

View source: R/Grace_multi_knockoff.R

Grace_multi_knockoffR Documentation

Function to conduct Grace-AKO and Grace

Description

Function to conduct Grace-AKO and Grace

Usage

Grace_multi_knockoff(
  X,
  Y,
  L_1,
  L,
  fdr,
  lambda.L,
  lambda.1,
  lambda.2,
  n_bootstraps = 25,
  gamma = 0.3,
  gamma_min = 0.1
)

Arguments

X

standardized n (number of rows) by p (number of columns) design matrix.

Y

centered n by 1 vector of the response variable.

L_1

p by p (weighted) processed matrix of a graph for Grace-AKO.

L

p by p (weighted) adjacency matrix of a graph for Grace.

fdr

the pre-specified false discovery rate level

lambda.L

tuning parameters of the penalty weight matrix

lambda.1

tuning parameters of the L_1 penalty

lambda.2

tuning parameters of the ridge penalty

n_bootstraps

the number of multiple knockoffs

gamma

the pre-specified percentile value used for fixed aggregation

gamma_min

the pre-specified percentile value used for adaptive aggregation


mxxptian/GraceAKO documentation built on Oct. 5, 2022, 11:17 p.m.