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.
- Version3.1.3
- R version≥ 3.6
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/10/2023
Documentation
Team
Evandro Konzen
Jian Qing Shi
Yafeng Cheng
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- Imports6 packages
- Suggests4 packages
- Linking To2 packages
- Reverse Imports1 package