telefit: Estimation and Prediction for Remote Effects Spatial Process Models

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 <>.

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 (≥
Suggests: testthat
Published: 2018-08-10
Author: Joshua Hewitt
Maintainer: Joshua Hewitt <joshua.hewitt at>
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:, r-release:, r-oldrel:
OS X binaries: r-release: telefit_1.0.0.tgz, r-oldrel: telefit_1.0.0.tgz


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