The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

growfunctions: Bayesian Non-Parametric Dependent Models for Time-Indexed Functional Data

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.

Version: 0.16
Depends: R (≥ 3.2.2), Rcpp (≥ 0.11.6)
Imports: spam (≥ 2.7-0), ggplot2 (≥ 1.0.1), reshape2 (≥ 1.2.2)
LinkingTo: Rcpp (≥ 0.12.16), RcppArmadillo (≥ 0.8.400.0.0)
Suggests: testthat (≥ 0.8.1)
Published: 2023-12-12
DOI: 10.32614/CRAN.package.growfunctions
Author: Terrance Savitsky
Maintainer: Terrance Savitsky <tds151 at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: growfunctions citation info
Materials: NEWS
In views: FunctionalData
CRAN checks: growfunctions results

Documentation:

Reference manual: growfunctions.pdf

Downloads:

Package source: growfunctions_0.16.tar.gz
Windows binaries: r-devel: growfunctions_0.16.zip, r-release: growfunctions_0.16.zip, r-oldrel: growfunctions_0.16.zip
macOS binaries: r-release (arm64): growfunctions_0.16.tgz, r-oldrel (arm64): growfunctions_0.16.tgz, r-release (x86_64): growfunctions_0.16.tgz, r-oldrel (x86_64): growfunctions_0.16.tgz
Old sources: growfunctions archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=growfunctions to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.