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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=GPFDA to link to this page.
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