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:Giancarlo Vercellino [aut, cre, cph]

unfold_1.0.1.tar.gz
unfold_1.0.1.zip(r-4.7-any)unfold_1.0.1.zip(r-4.6-any)unfold_1.0.1.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
unfold/json (API)

# Install 'unfold' in R:
install.packages('unfold', repos = c('https://pigian.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 333 downloads 1 exports 60 dependencies

Last updated from:ee7636d55d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK168
source / vignettesOK203
linux-releaseOK152
macos-releaseOK112
macos-oldrelOK135
windows-develOK97
windows-releaseOK103
windows-oldrelOK113
wasm-releaseOK124

Exports:unfold

Dependencies:abindbitbit64callrclicolorspacecommonmarkcorocpp11curldescfarverforecastfracdiffgenericsggplot2ggtextgluegridtextgtableimputeTSisobandjpegjsonlitelabelinglatticelifecyclelitedownlmtestlubridatemagrittrmarkdownnlmennetotelpngprocessxpspurrrR6RColorBrewerRcppRcppArmadillorlangS7safetensorsscalesstinepackstringistringrtimechangetimeDatetorchurcavctrsviridisLitewithrxfunxml2zoo