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>.


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Reference manual

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install.packages("GPFDA")

3.1.1 by Evandro Konzen, 4 months ago


Browse source code at https://github.com/cran/GPFDA


Authors: Jian Qing Shi , Yafeng Cheng , Evandro Konzen


Documentation:   PDF Manual  


Task views: Functional Data Analysis


GPL-3 license


Imports Rcpp, splines, mgcv, fields, interp, stats, graphics, grDevices, fda, fda.usc

Suggests MASS, mvtnorm, knitr, rmarkdown

Linking to Rcpp, RcppArmadillo


See at CRAN