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GPFDA  

Gaussian Process for Functional Data Analysis
View on CRAN: Click here


Download and install GPFDA package within the R console
Install from CRAN:
install.packages("GPFDA")

Install from Github:
library("remotes")
install_github("cran/GPFDA")

Install by package version:
library("remotes")
install_version("GPFDA", "3.1.3")



Attach the package and use:
library("GPFDA")
Maintained by
Evandro Konzen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-12-29
Latest Update: 2023-09-10
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 .
How to cite:
Evandro Konzen (2013). GPFDA: Gaussian Process for Functional Data Analysis. R package version 3.1.3, https://cran.r-project.org/web/packages/GPFDA. Accessed 05 Oct. 2026.
Previous versions and publish date:
0.1 (2013-12-29 22:16), 1.0 (2014-01-04 01:01), 1.1 (2014-04-02 19:17), 2.0 (2014-04-28 18:33), 2.1 (2014-05-29 10:26), 2.2 (2014-09-29 23:38), 3.0.0 (2021-01-11 13:20), 3.1.0 (2021-01-27 00:10), 3.1.1 (2021-01-29 15:00), 3.1.2 (2022-05-07 12:20), (2026-07-09 08:05)
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Complete documentation for GPFDA
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