Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Jian Qing Shi, Yafeng Cheng, Evandro Konzen |
| Maintainer | Evandro Konzen <gpfda.r@gmail.com> |
| License | GPL-3 |
| Version | 3.1.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the GPFDA package in your browser
Any scripts or data that you put into this service are public.
