Internal lars functions
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betabreaker(object) backsolvet(r,x,k = ncol(r)) cv.folds(n, folds = 10) delcol(r, z, k = p) downdateR (R, k = p) error.bars(x, upper, lower, width = 0.02, ...) nnls.lars(active, Sign, R, beta, Gram, eps = 1e-10, trace = FALSE, use.Gram = TRUE) plotCVLars(cv.lars.object, se = TRUE) updateR(xnew, R = NULL, xold, eps = .Machine$double.eps, Gram = FALSE)
These are not to be called by the user.
betabreaker figures out
if coefficients (other than lasso) pass through zero, since the L1
norm is discontinuous there, and this has an impact on
predict/plot. Suggested by Yann-Ael Le Borgne.
backsolvet is included
to make the R code compatible with the Splus code, since
backsolve in R has a
transpose=TRUE option already.
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