Package: unfold 1.0.1
unfold: Mapping Hidden Geometry into Future Sequences
A variational mapping approach that reveals and expands future temporal dynamics from folded high-dimensional geometric distance spaces, unfold turns a set of time series into a 4D block of pairwise distances between reframed windows, learns a variational mapper that maps those distances to the next reframed window, and produces horizon-wise predictive functions for each input series. In short: it unfolds the future path of each series from a folded geometric distance representation.
Authors:
unfold_1.0.1.tar.gz
unfold_1.0.1.zip(r-4.7)unfold_1.0.1.zip(r-4.6)unfold_1.0.1.zip(r-4.5)
unfold_1.0.1.tgz(r-4.6-any)unfold_1.0.1.tgz(r-4.5-any)
unfold_1.0.1.tar.gz(r-4.7-any)unfold_1.0.1.tar.gz(r-4.6-any)
unfold_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
unfold/json (API)
NEWS
| # Install 'unfold' in R: |
| install.packages('unfold', repos = c('https://pigian.r-universe.dev', 'https://cloud.r-project.org')) |
- dummy_set - Tech Stock Time Series Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ee7636d55d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 144 | ||
| source / vignettes | OK | 199 | ||
| linux-release-x86_64 | OK | 160 | ||
| macos-release-arm64 | OK | 155 | ||
| macos-oldrel-arm64 | OK | 95 | ||
| windows-devel | OK | 129 | ||
| windows-release | OK | 135 | ||
| windows-oldrel | OK | 103 | ||
| wasm-release | OK | 115 |
Exports:unfold
Dependencies:abindbitbit64callrclicolorspacecommonmarkcorocpp11curldescfarverforecastfracdiffgenericsggplot2ggtextgluegridtextgtableimputeTSisobandjpegjsonlitelabelinglatticelifecyclelitedownlmtestlubridatemagrittrmarkdownnlmennetpngprocessxpspurrrR6RColorBrewerRcppRcppArmadillorlangS7safetensorsscalesstinepackstringistringrtimechangetimeDatetorchurcavctrsviridisLitewithrxfunxml2zoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Tech Stock Time Series Dataset | dummy_set |
| unfold: Mapping Hidden Geometry into Future Sequences | unfold-package unfold |
