Package: remote 1.2.1
remote: Empirical Orthogonal Teleconnections in R
Empirical orthogonal teleconnections in R. 'remote' is short for 'R(-based) EMpirical Orthogonal TEleconnections'. It implements a collection of functions to facilitate empirical orthogonal teleconnection analysis. Empirical Orthogonal Teleconnections (EOTs) denote a regression based approach to decompose spatio-temporal fields into a set of independent orthogonal patterns. They are quite similar to Empirical Orthogonal Functions (EOFs) with EOTs producing less abstract results. In contrast to EOFs, which are orthogonal in both space and time, EOT analysis produces patterns that are orthogonal in either space or time.
Authors:
remote_1.2.1.tar.gz
remote_1.2.1.zip(r-4.5)remote_1.2.1.zip(r-4.4)remote_1.2.1.zip(r-4.3)
remote_1.2.1.tgz(r-4.4-x86_64)remote_1.2.1.tgz(r-4.4-arm64)remote_1.2.1.tgz(r-4.3-x86_64)remote_1.2.1.tgz(r-4.3-arm64)
remote_1.2.1.tar.gz(r-4.5-noble)remote_1.2.1.tar.gz(r-4.4-noble)
remote_1.2.1.tgz(r-4.4-emscripten)remote_1.2.1.tgz(r-4.3-emscripten)
remote.pdf |remote.html✨
remote/json (API)
# Install 'remote' in R: |
install.packages('remote', repos = c('https://tim-salabim.r-universe.dev', 'https://cloud.r-project.org')) |
- australiaGPCP - Monthly GPCP precipitation data for Australia
- pacificSST - Monthly SSTs for the tropical Pacific Ocean
- vdendool - Mean seasonal (DJF) 700 mb geopotential heights
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:c61109973b. Checks:OK: 7 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 14 2024 |
R-4.5-win-x86_64 | NOTE | Oct 14 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 14 2024 |
R-4.4-win-x86_64 | OK | Oct 14 2024 |
R-4.4-mac-x86_64 | OK | Oct 14 2024 |
R-4.4-mac-aarch64 | OK | Oct 14 2024 |
R-4.3-win-x86_64 | OK | Oct 14 2024 |
R-4.3-mac-x86_64 | OK | Oct 14 2024 |
R-4.3-mac-aarch64 | OK | Oct 14 2024 |
Exports:anomalizecalcVarcovWeightcutStackdeg2raddenoisedeseasoneotEotCyclegeoWeightgetWeightslagalizelongtermMeansnmodesnXplainplotpredictsubsetwriteEot
Dependencies:clicolorspacedeldirfarvergluegridExtragtableinterpjpeglabelinglatticelatticeExtralifecyclemapdatamapsMASSmunsellpngR6rasterRColorBrewerRcppRcppEigenrlangscalesspterraviridisLite