Package: GPFDA
Type: Package
Title: Gaussian Process for Functional Data Analysis
Version: 3.1.2
Date: 2022-05-07
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 (>= 1.0.2), splines, mgcv, fields, interp, stats,
        graphics, grDevices, fda, fda.usc
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.0.2
Encoding: UTF-8
Suggests: MASS, mvtnorm, knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2022-05-07 09:10:12 UTC; evandro
Repository: CRAN
Date/Publication: 2022-05-07 10:20:02 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2022-05-11 07:56:39 UTC; unix
Archs: GPFDA.so.dSYM
