cggd-internal: Internal cggd functions

In cggd: Continuous Generalized Gradient Descent

Description

Internal lars functions

Usage

get.switch.time(switch.func,e, boundary=0,terminate_value=1e15,tol = .Machine$double.eps^0.5, fctr=1e8, TRACE=FALSE)
cggd.mgd.var.init(x,y,  a.set, beta_init, e, alpha1 = 0, alpha2 = 0, w = 1)
cggd.mgd.gen.beta(t,e)
cggd.switch.func(t, e, do_in=TRUE, do_out=TRUE)
cggd.switch.func.min(t,e)
cggd.mgd.one.step(x, y, a.set, beta_init,    t1 = 1, alpha1 = 0, alpha2 = 0, w = 1, tau = 1, tautil = -1, eps = -1, TRACE=FALSE, fctr=1e8)
cggd.trr.var.init(x,y,  a.set, beta_init, e)
cggd.trr.gen.beta(t,e)
cggd.trr.one.step(x, y, a.set, beta_init, t1 = 1, t0 = 1, tau = 1, tautil = -1, eps = -1, fctr=1e8)
cggd.Fstar(x, eps1=1e-6)
plotCVcggd(cv.lars.object,se=TRUE)
error.bars(x, upper, lower, width = 0.02, ...)

Details

These are not to be called by the user.

Author(s)

Ofer Melnik, Cun-Hui Zhang

cggd documentation built on May 30, 2017, 4:33 a.m.