growfunctions (0.14)

0 users

Bayesian Non-Parametric Dependent Models for Time-Indexed Functional Data.

http://cran.r-project.org/web/packages/growfunctions

Estimates a collection of time-indexed functions under either of Gaussian process (GP) or intrinsic Gaussian Markov random field (iGMRF) prior formulations where a Dirichlet process mixture allows sub-groupings of the functions to share the same covariance or precision parameters. The GP and iGMRF formulations both support any number of additive covariance or precision terms, respectively, expressing either or both of multiple trend and seasonality.

Maintainer: "Savitsky, Terrance"
Author(s): Terrance Savitsky

License: GPL (>= 3)

Uses: Rcpp

Released 9 months ago.


3 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

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


Related packages: fda, fpca, rainbow, fds, ftsa, geofd, refund, fda.usc, dbstats, fdasrvf, ddalpha, switchnpreg, fdatest, fdakma, GPFDA, FDboost, refund.wave, funHDDC, funFEM, RFgroove(20 best matches, based on common tags.)


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

Visit growfunctions on R Graphical Manual.