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>.

Package details

AuthorJian Qing Shi, Yafeng Cheng, Evandro Konzen
MaintainerEvandro Konzen <gpfda.r@gmail.com>
LicenseGPL-3
Version3.1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GPFDA")

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GPFDA documentation built on Jan. 29, 2021, 5:14 p.m.