Package: telefit 1.0.3
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) <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.
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telefit_1.0.3.tar.gz
telefit_1.0.3.tar.gz(r-4.5-noble)telefit_1.0.3.tar.gz(r-4.4-noble)
telefit_1.0.3.tgz(r-4.4-emscripten)telefit_1.0.3.tgz(r-4.3-emscripten)
telefit.pdf |telefit.html✨
telefit/json (API)
NEWS
# Install 'telefit' in R: |
install.packages('telefit', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- coprecip - Standardized anomalies of CO Precipitation
- coprecip.fit - Sample MCMC output for the RESP model
- coprecip.predict - Sample composition sampling output for the RESP model
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:5dc0901767. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 08 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 08 2024 |
Exports:cca.predicteofextractStDataforwardsolve.kronHPDinterval.stFitinvWSampkronSampmaternCovmaternEffectiveRangestEvalstFitstLLstPredictstSimulatestVIFsummariseAlphasummariseEOFAlphasvcFitsvcPredictteleCor
Dependencies:abindclicodacodetoolscolorspacecowplotdotCall64dplyrevaluatefansifarverfieldsforeachgenericsggplot2gluegtablehighrisobanditeratorsitertoolsknitrlabelinglatticelifecyclemagrittrmapsMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigplyrR6rasterRColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangscalesscoringRulesspspamstringistringrterratibbletidyselectutf8vctrsviridisLitewithrxfunyaml