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GPFDA: Gaussian Process for Functional Data Analysis

Functionalities for modelling functional data with multidimensional inputs, multivariate functional data, and non-separable and/or non-stationary covariance structure of function-valued processes. In addition, there are functionalities for functional regression models where the mean function depends on scalar and/or functional covariates and the covariance structure depends on functional covariates. The development version of the package can be found on <https://github.com/gpfda/GPFDA-dev>.

Version: 3.1.3
Depends: R (≥ 3.6)
Imports: Rcpp, splines, mgcv, fields, interp, stats, graphics, grDevices, fda, fda.usc
LinkingTo: Rcpp, RcppArmadillo
Suggests: MASS, mvtnorm, knitr, rmarkdown
Published: 2023-09-10
DOI: 10.32614/CRAN.package.GPFDA
Author: Jian Qing Shi, Yafeng Cheng, Evandro Konzen
Maintainer: Evandro Konzen <gpfda.r at gmail.com>
License: GPL-3
NeedsCompilation: yes
In views: FunctionalData
CRAN checks: GPFDA results

Documentation:

Reference manual: GPFDA.pdf
Vignettes: co2
gpfr
gpr_ex1
gpr_ex2
mgpr
nsgpr

Downloads:

Package source: GPFDA_3.1.3.tar.gz
Windows binaries: r-devel: GPFDA_3.1.3.zip, r-release: GPFDA_3.1.3.zip, r-oldrel: GPFDA_3.1.3.zip
macOS binaries: r-release (arm64): GPFDA_3.1.3.tgz, r-oldrel (arm64): GPFDA_3.1.3.tgz, r-release (x86_64): GPFDA_3.1.3.tgz, r-oldrel (x86_64): GPFDA_3.1.3.tgz
Old sources: GPFDA archive

Reverse dependencies:

Reverse imports: DGP4LCF

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GPFDA 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.
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