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>.
Last updated 3 days ago
ecologyglmmspatial-analysisspecies-distribution-modellingtmbcpp
10.68 score 192 stars 880 scripts 1.4k downloadsglmmfields - 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>.
Last updated 1 years ago
ecologyextremesspatial-analysisspatiotemporalcpp
6.74 score 50 stars 55 scripts 656 downloadsmetafolio - Metapopulation Simulations for Conserving Salmon Through Portfolio Optimization
A tool to simulate salmon metapopulations and apply financial portfolio optimization concepts. The package accompanies the paper Anderson et al. (2015) <doi:10.1101/2022.03.24.485545>.
Last updated 11 months ago
openblascpp
4.89 score 2 stars 77 scripts 690 downloads