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>.
| Version: | 0.1.8 |
| Depends: | methods, R (≥ 3.4.0),Rcpp (≥ 0.12.18) |
| Imports: | assertthat,broom,broom.mixed,cluster,dplyr (≥ 0.8.0),forcats,ggplot2 (≥ 2.2.0),loo (≥ 2.0.0),mvtnorm,nlme,RcppParallel (≥ 5.0.1),reshape2,rstan (≥ 2.26.0),rstantools (≥ 2.1.1),tibble |
| LinkingTo: | BH (≥ 1.66.0),Rcpp (≥ 0.12.8),RcppEigen (≥ 0.3.3.3.0),RcppParallel (≥ 5.0.1),rstan (≥ 2.26.0),StanHeaders (≥2.26.0) |
| Suggests: | bayesplot,coda,knitr, parallel,rmarkdown,testthat,viridis |
| Published: | 2023-10-20 |
| DOI: | 10.32614/CRAN.package.glmmfields |
| Author: | Sean C. Anderson [aut, cre], Eric J. Ward [aut], Trustees of Columbia University [cph] |
| Maintainer: | Sean C. Anderson <sean at seananderson.ca> |
| BugReports: | https://github.com/seananderson/glmmfields/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/seananderson/glmmfields |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Citation: | glmmfields citation info |
| Materials: | NEWS |
| In views: | MixedModels |
| CRAN checks: | glmmfields results |