growfunctions
Bayesian Non-Parametric Dependent Models for Time-Indexed Functional Data
Estimates a collection of time-indexed functions under either of Gaussian process (GP) or intrinsic Gaussian Markov random field (iGMRF) prior formulations where a Dirichlet process mixture allows sub-groupings of the functions to share the same covariance or precision parameters. The GP and iGMRF formulations both support any number of additive covariance or precision terms, respectively, expressing either or both of multiple trend and seasonality.
- Version0.16
- R version≥ 3.2.2
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- growfunctions citation info
- Last release12/12/2023
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Team
Terrance Savitsky
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- Depends1 package
- Imports3 packages
- Suggests1 package
- Linking To2 packages