GPFDA

swMATH14770CRANGPFDAMaRDI QIDQ26667

Gaussian Process for Functional Data Analysis

Jian Qing Shi

Last update: 10 September 2023

Copyright license: GNU General Public License, version 3.0

Software version identifier: 3.1.2, 0.1, 1.0, 1.1, 2.0, 2.1, 2.2, 3.0.0, 3.1.0, 3.1.1, 3.1.3

Source code repository: https://github.com/cran/GPFDA

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>.

Related Items (4)

A general framework for functional regression modelling ⋮ Gaussian Process Regression Analysis for Functional Data ⋮ MAGMA: inference and prediction using multi-task Gaussian processes with common mean ⋮ A generalized Gaussian process model for computer experiments with binary time series

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