sdmTMB
Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB'
Implements spatial and spatiotemporal GLMMs (Generalized Linear Mixed Effect Models) using 'TMB', 'fmesher', and the SPDE (Stochastic Partial Differential Equation) Gaussian Markov random field approximation to Gaussian random fields. One common application is for spatially explicit species distribution models (SDMs). See Anderson et al. (2024)
- Version0.6.0
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?Yes
- sdmTMB citation info
- Last release05/30/2024
Documentation
Team
Sean C. Anderson
Eric J. Ward
Philina A. English
Lewis A. K. Barnett
James T. Thorson
Joe Watson
Show author detailsRolesContributorJulia Indivero
Show author detailsRolesContributorJillian C. Dunic
Cole C. Monnahan
Mollie Brooks
Ben Bolker
Kasper Kristensen
Show author detailsRolesContributor, Copyright holderMartin Maechler
Arni Magnusson
Hans J. Skaug
Show author detailsRolesContributor, Copyright holderAnders Nielsen
Casper Berg
Koen van Bentham
Show author detailsRolesContributor, Copyright holderOlav Nikolai Breivik
Show author detailsRolesContributor, Copyright holderSimon Wood
Show author detailsRolesContributor, Copyright holderPaul-Christian Bürkner
Show author detailsRolesContributor, Copyright holderHis Majesty the King in Right of Canada, as represented by the Minister of the Department of Fisheries and Oceans
Show author detailsRolesCopyright holder
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- Depends1 package
- Imports17 packages
- Suggests18 packages
- Linking To2 packages
- Reverse Suggests2 packages