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 (2018) <doi:10.1002/ecy.2403>.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.4.0), Rcpp (≥ 0.12.0) |
| Imports: | rstan (≥ 2.18.1), ggplot2 (≥ 2.2.0), cluster, dplyr (≥ 0.7.0), reshape2, mvtnorm, broom, methods, loo, assertthat, nlme, forcats, rstantools |
| LinkingTo: | StanHeaders (≥ 2.18.0), rstan (≥ 2.18.1), BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen |
| Suggests: | testthat, parallel, bayesplot, knitr, rmarkdown, viridis, coda |
| Published: | 2018-11-09 |
| 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 |
| CRAN checks: | glmmfields results |
| Reference manual: | glmmfields.pdf |
| Vignettes: |
Spatial GLMs with glmmfields |
| Package source: | glmmfields_0.1.1.tar.gz |
| Windows binaries: | r-devel: glmmfields_0.1.1.zip, r-release: glmmfields_0.1.1.zip, r-oldrel: glmmfields_0.1.1.zip |
| OS X binaries: | r-release: glmmfields_0.1.1.tgz, r-oldrel: glmmfields_0.1.1.tgz |
| Old sources: | glmmfields archive |
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