subgradientL1Regression: Simple subgradientL1Regression function.

Description Usage Arguments Value Author(s) Examples

View source: R/subgradientL1Regression.R

Description

SubgradientL1Regression solves y approx x beta

Usage

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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

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

neuroconductor-devel/ANTsR documentation built on April 1, 2021, 1:02 p.m.