glmmfields
Generalized Linear Mixed Models with Robust Random Fields for Spatiotemporal Modeling
Implements Bayesian spatial and spatiotemporal models that optionally allow for extreme spatial deviations through time. 'glmmfields' uses a predictive process approach with random fields implemented through a multivariate-t distribution instead of the usual multivariate normal. Sampling is conducted with 'Stan'. References: Anderson and Ward (2019) doi:10.1002/ecy.2403.
- Version0.1.8
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- glmmfields citation info
- Last release10/20/2023
Documentation
Team
Sean C. Anderson
MaintainerShow author detailsEric J. Ward
Show author detailsRolesAuthorTrustees of Columbia University
Show author detailsRolesCopyright holder
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- Depends1 package
- Imports15 packages
- Suggests6 packages
- Linking To6 packages