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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.1.3 |
2026-04-09 windows/windows R-4.5 | GPFDA_3.1.3.zip |
2.0 MiB |