subgradientL1Regression: Simple subgradientL1Regression function.

In stnava/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

Simple subgradientL1Regression function.

Description

SubgradientL1Regression solves y approx x beta

Usage

subgradientL1Regression(
  y,
  x,
  s = 0.01,
  percentvals = 0.1,
  nits = 100,
  betas = NA,
  sparval = NA
)

Arguments

y	outcome variable
x	predictor matrix
s	gradient descent parameter
percentvals	percent of values to use each iteration
nits	number of iterations
betas	initial guess at solution
sparval	sparseness

Value

output has a list of summary items

Author(s)

Avants BB

Examples

mat <- replicate(1000, rnorm(200))
y <- rnorm(200)
wmat <- subgradientL1Regression(y, mat, percentvals = 0.05)
print(wmat$resultcorr)

stnava/ANTsR documentation built on April 16, 2024, 12:17 a.m.