Estimation and Prediction for Remote Effects Spatial Process Models
Overview
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 https://jmhewitt.github.io/research/resp_example. 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.
Enhancements
- Removing dependencies on orphaned packages (doRNG, SDMTools)
From NEWS.md in the release
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- Help pages
- 45includes a package overview page
- Examples that run
- 97%29 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 20%
- Help pages citing references
- 7%
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People & History
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- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-09-17email to the maintainer is undeliverable
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0.32020-02-03 · diff ↗
- 1.0.22019-12-17 · diff ↗
- RR 3.6.0 released · 2019-04-26
- unarchivedReturned to CRAN2019-02-18
- 1.0.12019-02-18 · diff ↗
- archivedRemoved from CRAN2019-02-08installation errors were not corrected despite reminder Misuse of _C, assigning variables to themselves Also check failure with MKL
- 1.0.02018-08-10
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-08-10
- Total releases
- 4 / 8 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.0.2
- Bundled data
- 2.4 MB / 4 files
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