Package: GPFDA
Type: Package
Title: Gaussian Process for Functional Data Analysis
Version: 3.1.3
Date: 2023-09-10
Author: Jian Qing Shi, Yafeng Cheng, Evandro Konzen
Maintainer: Evandro Konzen <gpfda.r@gmail.com>
Description: 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>.
License: GPL-3
Depends: R (>= 3.6)
Imports: Rcpp, splines, mgcv, fields, interp, stats, graphics,
        grDevices, fda, fda.usc
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.2.3
Encoding: UTF-8
Suggests: MASS, mvtnorm, knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-10-10 17:09:58 UTC; root
Config/pak/sysreqs: make
Repository: https://gpfda.r-universe.dev
Date/Publication: 2023-09-10 23:30:40 UTC
RemoteUrl: https://github.com/cran/GPFDA
RemoteRef: HEAD
RemoteSha: 1d65d085fd44124634ae8b7d24cd33860d07be98