fda (2.4.4)

0 users

Functional Data Analysis.


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.

Maintainer: J. O. Ramsay
Author(s): J. O. Ramsay <ramsay@psych.mcgill.ca>, Hadley Wickham <h.wickham@gmail.com>, Spencer Graves <spencer.graves@prodsyse.com>, Giles Hooker <gjh27@cornell.edu>

License: GPL (>= 2)

Uses: Matrix, R.matlab, lattice, nlme, quadprog, zoo, RCurl, deSolve
Reverse depends: Actigraphy, anacor, CCA, CollocInfer, ctmcmove, cyphid, DierckxSpline, fda.usc, fdatest, funFEM, funHDDC, geofd, gpDDE, hisemi, mar1s, MFDF, pencopula, pendensity, penDvine, quantreg.nonpar, refund, RFgroove, sde, sft, switchnpreg, vows
Reverse suggests: DierckxSpline, DrBats, FDboost, freqdom, sos, trackeR
Reverse enhances: QZ

Released about 2 years ago.

18 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of fda yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for fda on google, google scholar, r-help, r-devel.

Visit fda on R Graphical Manual.