CRAN/E | telefit

telefit

Estimation and Prediction for Remote Effects Spatial Process Models

Installation

About

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) doi:10.1002/env.2523. Sample code for working with the RESP model is available at . This material is based upon work supported by the National Science Foundation under grant number AGS 1419558. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

System requirements A system with a recent-enough C++11 compiler (such as g++-4.8 or later).

Key Metrics

Version 1.0.3
R ≥ 3.0.2
Published 2020-02-03 1555 days ago
Needs compilation? yes
License GPL-3
CRAN checks telefit results

Downloads

Yesterday 3 0%
Last 7 days 38 -45%
Last 30 days 165 +15%
Last 90 days 439 -39%
Last 365 days 2.154 -14%

Maintainer

Maintainer

Joshua Hewitt

joshua.hewitt@duke.edu

Authors

Joshua Hewitt

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

telefit archive

Depends

R ≥ 3.0.2

Imports

abind
coda
cowplot
dplyr
fields
itertools
mvtnorm
raster
scoringRules
stringr
foreach
ggplot2
gtable
reshape2
scales
sp

Suggests

testthat

LinkingTo

Rcpp ≥ 0.12.4
RcppArmadillo
RcppEigen ≥ 0.3.3.3.1