Fits multivariate Bayesian spatial regression models for large datasets using Spatial Multivariate Trees (SpamTrees). The methods in this package are detailed in Peruzzi and Dunson (2020) <arXiv:2012.00943>. Funded by ERC grant 856506 and NIH grant R01ES028804.
| Version: | 0.2.2 |
| Imports: | Rcpp (≥ 1.0.3), FNN, dplyr, magrittr, rlang, tibble |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, abind, ggplot2 |
| Published: | 2021-12-07 |
| Author: | Michele Peruzzi |
| Maintainer: | Michele Peruzzi <michele.peruzzi at duke.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | spamtree results |
| Reference manual: | spamtree.pdf |
| Vignettes: |
spatial_multivariate |
| Package source: | spamtree_0.2.2.tar.gz |
| Windows binaries: | r-devel: spamtree_0.2.2.zip, r-release: spamtree_0.2.2.zip, r-oldrel: spamtree_0.2.2.zip |
| macOS binaries: | r-release (arm64): spamtree_0.2.2.tgz, r-oldrel (arm64): spamtree_0.2.2.tgz, r-release (x86_64): spamtree_0.2.2.tgz, r-oldrel (x86_64): spamtree_0.2.2.tgz |
| Old sources: | spamtree archive |
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