varycoef

Implements a maximum likelihood estimation (MLE) method for estimation and prediction of Gaussian process-based spatially varying coefficient (SVC) models (Dambon et al. (2021a) doi:10.1016/j.spasta.2020.100470). Covariance tapering (Furrer et al. (2006) doi:10.1198/106186006X132178) can be applied such that the method scales to large data. Further, it implements a joint variable selection of the fixed and random effects (Dambon et al. (2021b) doi:10.1080/13658816.2022.2097684). The package and its capabilities are described in (Dambon et al. (2021c) doi:10.48550/arXiv.2106.02364).

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