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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.html ,GPFDA.pdf
Vignettes:co2 (source,R code)
gpfr (source,R code)
gpr_ex1 (source,R code)
gpr_ex2 (source,R code)
mgpr (source,R code)
nsgpr (source,R code)

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 formhttps://CRAN.R-project.org/package=GPFDAto link to this page.


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