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).

Last 30 days

This package has been downloaded 266 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 16 times.

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Last 365 days

This package has been downloaded 3,141 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Mar 28, 2025 with 94 downloads.

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