ANTsR (version 1.0)

subgradientL1Regression: Simple subgradientL1Regressioning function.

Description

SubgradientL1Regression solves y approx x beta

Usage

wmat<-subgradientL1Regression( y, x, s=0.01, percentvals=0.1 , nits=100, betas=NA   )

Arguments

y

outcome variable

x

predictor matrix

Value

output has a list of summary items

Examples

# NOT RUN {
mat<-replicate(1000, rnorm(200)) 
y<-rnorm(200)
wmat<-subgradientL1Regression( y, mat, percentvals=0.05 ) 
print( wmat$resultcorr )
# }