R: Internal lars functions

lars-internal {lars} | R Documentation

## Internal lars functions

### Description

Internal lars functions

### Usage

    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)

### Details

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.

### Author(s)

Trevor Hastie

[Package lars version 1.2 Index]