Intro | WIDALS Review | Simulation
Package: widals 0.6.2
widals: Weighting by Inverse Distance with Adaptive Least Squares
Computationally easy modeling, interpolation, forecasting of massive temporal-spacial data.
Authors:
widals_0.6.2.tar.gz
widals_0.6.2.zip(r-4.7-x86_64)widals_0.6.2.zip(r-4.7-arm64)widals_0.6.2.zip(r-4.6-x86_64)widals_0.6.2.zip(r-4.6-arm64)widals_0.6.2.zip(r-4.5-x86_64)
widals_0.6.2.tgz(r-4.6-x86_64)widals_0.6.2.tgz(r-4.6-arm64)widals_0.6.2.tgz(r-4.5-x86_64)widals_0.6.2.tgz(r-4.5-arm64)
widals_0.6.2.tar.gz(r-4.7-arm64)widals_0.6.2.tar.gz(r-4.7-x86_64)widals_0.6.2.tar.gz(r-4.6-arm64)widals_0.6.2.tar.gz(r-4.6-x86_64)
widals_0.6.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
widals/json (API)
| # Install 'widals' in R: |
| install.packages('widals', repos = c('https://davezes.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- O3 - California Ozone
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:e8a93c09ba. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 112 | ||
| linux-devel-x86_64 | OK | 127 | ||
| source / vignettes | OK | 211 | ||
| linux-release-arm64 | OK | 91 | ||
| linux-release-x86_64 | OK | 89 | ||
| macos-release-arm64 | OK | 206 | ||
| macos-release-x86_64 | OK | 243 | ||
| macos-oldrel-arm64 | OK | 214 | ||
| macos-oldrel-x86_64 | OK | 392 | ||
| windows-devel-arm64 | OK | 353 | ||
| windows-devel-x86_64 | OK | 99 | ||
| windows-release-arm64 | OK | 363 | ||
| windows-release-x86_64 | OK | 106 | ||
| windows-oldrel-x86_64 | OK | 65 | ||
| wasm-release | OK | 86 |
Exports:applystnd.Hsapplystnd.Hst.lscreate.rm.ndx.lscrispifydistancedlog.normfun.load.hals.afun.load.hals.fillfun.load.widals.afun.load.widals.fillfuse.Hst.lsH.als.bH.Earth.solarHals.fastcv.snowHals.sesHals.snowHst.sumupload.Hst.ls.2Zsload.Hst.ls.ZMSS.snowrm.cols.Hst.lsstnd.Hsstnd.Hst.lsstnd.Htsubsetsites.Hst.lsunif.mhunload.Hst.lswidals.predictwidals.snowZ.clean.up
Package \texttt{widals}: Fun with \texttt{fun.load()
Last update: 2025-03-24
Started: 2014-03-02
Package widals
Intro: What the Heck Is ``WIDALS''? | ALS Examples | WIDALS Examples
Last update: 2025-03-24
Started: 2014-03-02
