Fits Bayesian spatial or spatiotemporal multivariate regression models based on latent Meshed Gaussian Processes (MGP) as described in Peruzzi, Banerjee, Finley (2020) <doi:10.1080/01621459.2020.1833889> and Peruzzi, Banerjee, Dunson, and Finley (2021) <arXiv:2101.03579>. Funded by ERC grant 856506 and NIH grant R01ES028804.
| Version: | 0.1.2 |
| Imports: | Rcpp (≥ 1.0.5), stats, dplyr, glue, rlang, magrittr |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | ggplot2, abind, rmarkdown, knitr, tidyr |
| Published: | 2021-06-22 |
| Author: | Michele Peruzzi |
| Maintainer: | Michele Peruzzi <michele.peruzzi at duke.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | meshed results |
| Reference manual: | meshed.pdf |
| Vignettes: |
MGPs for multivariate data at irregularly spaced locations MGPs for univariate spatial gridded data MGPs for univariate data at irregularly spaced locations MGPs for univariate spatial non-Gaussian data |
| Package source: | meshed_0.1.2.tar.gz |
| Windows binaries: | r-devel: meshed_0.1.2.zip, r-devel-UCRT: meshed_0.1.2.zip, r-release: meshed_0.1.2.zip, r-oldrel: meshed_0.1.2.zip |
| macOS binaries: | r-release (arm64): meshed_0.1.2.tgz, r-release (x86_64): meshed_0.1.2.tgz, r-oldrel: meshed_0.1.2.tgz |
| Old sources: | meshed archive |
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