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) doi:10.1101/2022.03.24.485545.
- Version0.6.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- sdmTMB citation info
- Last release05/30/2024
Documentation
Team
Sean C. Anderson
MaintainerShow author detailsMartin Maechler
Arni Magnusson
Show author detailsRolesContributor, Copyright holderBen Bolker
Show author detailsRolesContributor, Copyright holderKasper Kristensen
Show author detailsRolesContributor, Copyright holderEric J. Ward
Show author detailsRolesAuthorPaul-Christian Bürkner
Show author detailsRolesContributor, Copyright holderSimon Wood
Show author detailsRolesContributor, Copyright holderMollie Brooks
Show author detailsRolesContributor, Copyright holderCasper Berg
Show author detailsRolesContributor, Copyright holderAnders Nielsen
Show author detailsRolesContributor, Copyright holderKoen van Bentham
Show author detailsRolesContributor, Copyright holderJames T. Thorson
Cole C. Monnahan
Show author detailsRolesContributor, Copyright holderPhilina A. English
Lewis A. K. Barnett
Joe Watson
Show author detailsRolesContributorJulia Indivero
Show author detailsRolesContributorJillian C. Dunic
Hans J. Skaug
Show author detailsRolesContributor, Copyright holderOlav Nikolai Breivik
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
Insights
Last 30 days
This package has been downloaded 2,201 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 89 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 24,455 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was Feb 05, 2025 with 202 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports14 packages
- Suggests17 packages
- Linking To2 packages
- Reverse Suggests1 package