cv.folds: Exported Internal Functions

In SemiSupervised: Safe Semi-Supervised Learning Tools

Description

These functions are internal functions that are exported only so other packages can use them to avoid the ::: scope operator. Users are strongly encouraged not to use them directly or modify them.

The documentation is minimal to discourage people from further using them.

Usage

cv.folds(n, folds = 3L)
h.est(Dist,sym=TRUE,thresh)
extract.a(form,env)
extract.xg(form,env)
extract.g(form,env)
inter.predict(y,W,x=NULL,bet=NULL,pow,fhat=FALSE)

Arguments

n	a number greater than folds.
folds	the number of folds.
Dist	a distance matrix.
sym	remove symmetric matrix component below diagonal.
thresh	an internal thresh-hold parameter.
form	a formula.
env	an environment.
y	a response for interpolation.
W	a matrix.
x	corresponding feature data.
bet	a default coefficient vector.
pow	the power of the interpolant function. Should be ignored.
fhat	whether or not to compute the sum of the linear term and the graph term.

Note

All of these functions should be treated as internal exported functions. The h.est function was primarly taken from the kernlab package.

Author(s)

Mark Vere Culp

SemiSupervised documentation built on May 11, 2018, 5:03 p.m.