Implementation of the remote effects spatial process (RESP) model for teleconnection. The RESP model is a geostatistical model that allows a spatially-referenced variable (like average precipitation) to be influenced by covariates defined on a remote domain (like sea surface temperatures). The RESP model is introduced in Hewitt et al. (2018) <arXiv:1612.06303>. Sample code for working with the RESP model is available at <https://jmhewitt.github.io/research/resp_example>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.0.2) |
| Imports: | abind, coda, cowplot, doRNG, dplyr, fields, itertools, mvtnorm, raster, scoringRules, stringr, foreach, ggplot2, gtable, reshape2, scales, sp, SDMTools |
| LinkingTo: | Rcpp (≥ 0.12.4), RcppArmadillo, RcppEigen (≥ 0.3.3.3.1) |
| Suggests: | testthat |
| Published: | 2018-08-10 |
| Author: | Joshua Hewitt |
| Maintainer: | Joshua Hewitt <joshua.hewitt at colostate.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| SystemRequirements: | A system with a recent-enough C++11 compiler (such as g++-4.8 or later). |
| CRAN checks: | telefit results |
| Reference manual: | telefit.pdf |
| Package source: | telefit_1.0.0.tar.gz |
| Windows binaries: | r-devel: telefit_1.0.0.zip, r-release: telefit_1.0.0.zip, r-oldrel: telefit_1.0.0.zip |
| OS X binaries: | r-release: telefit_1.0.0.tgz, r-oldrel: telefit_1.0.0.tgz |
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