lambda2gcv

the logarithm (base 10) of the smoothing parameter

log10lambda

argvals

a functional parameter object defining the smooth.

fdParobj

a weight vector used in the smoothing.

wtvec

The generalized cross-validation or GCV criterion is often used to
 select an appropriate smoothing parameter value, by finding the
 smoothing parameter that minimizes GCV. This function locates that
 value.

smooth

These functions were developed to support functional data
analysis as described in Ramsay, J. O. and Silverman, B. W.
(2005) Functional Data Analysis. New York: Springer.  They were
ported from earlier versions in Matlab and S-PLUS.  An
introduction appears in Ramsay, J. O., Hooker, Giles, and
Graves, Spencer (2009) Functional Data Analysis with R and
Matlab (Springer). The package includes data sets and script
files working many examples including all but one of the 76
figures in this latter book.  Matlab versions of the code and
sample analyses are no longer distributed through CRAN, as they
were when the book was published.  For those, ftp from
http://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/
There you find a set of .zip files containing the functions and
sample analyses, as well as two .txt files giving instructions for
installation and some additional information.
The changes from Version 2.4.1 are fixes of bugs in density.fd and
removal of functions create.polynomial.basis, polynompen, and
polynomial. These were deleted because the monomial basis
does the same thing and because there were errors in the code.

lambda2gcv: Compute GCV Criterion

Description

Usage

Arguments

Value

Details

See Also