API for enetLTS
Robust and Sparse Methods for High Dimensional Linear and Binary and Multinomial Regression

Global functions
CStep.binom Source code
CStep.gaus Source code
CStep.multinom Source code
GBY3Fs Source code
GBY3Fsm Source code
InitialSubset.binom Source code
InitialSubset.gaus Source code
InitialSubset.multinom Source code
addColnames Source code
addIntercept Source code
center.y Source code
coef.enetLTS Man page Source code
cv.binomial.enetLTS Source code
cv.enetLTS Man page Source code
cv.gaussian.enetLTS Source code
cv.multinom.enetLTS Source code
dev1 Source code
dev2 Source code
dev3 Source code
enetLTS Man page Source code
enetLTS.binom Source code
enetLTS.gaus Source code
enetLTS.multinom Source code
fitted.enetLTS Man page Source code
index.subsets.binom Source code
index.subsets.gaus Source code
index.subsets.multinom Source code
lambda00 Man page Source code
nonzeroCoef.enetLTS Man page
objBinom Source code
objGaus Source code
objMultinom Source code
phiBY3 Source code
plot.enetLTS Man page Source code
plotCoef.enetLTS Man page Source code
plotDiagnostic.enetLTS Man page Source code
plotResid.enetLTS Man page Source code
predict.enetLTS Man page Source code
print.enetLTS Man page Source code
residuals.enetLTS Man page Source code
rhoBY3 Source code
rpbr Source code
run.alpha.lambdas Source code
run.lambda.alphas Source code
run.sngl.alpha Source code
selectbest10.binom Source code
selectbest10.gaus Source code
selectbest10.multinom Source code
standardize.x Source code
startCstep500.binom Source code
startCstep500.gaus Source code
startCstep500.multinom Source code
uptrimCrit Source code
uptrimMSE Source code
warmCsteps.mod Source code
weight.binomial Source code
weight.gaussian Source code
weight.multinomial Source code
weights.enetLTS Man page Source code
winsorize.default Source code
enetLTS documentation built on May 22, 2022, 1:05 a.m.