lambda2gcv

the logarithm (base 10) of the smoothing parameter

log10lambda

argvals

a functional parameter object defining the smooth.

fdParobj

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.

lambda2gcv: Compute GCV Criterion

Description

Usage

Arguments

Value

Details

See Also