lars-internal | R Documentation |

Internal lars functions

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.

Trevor Hastie

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