Package: unfold
Type: Package
Title: Mapping Hidden Geometry into Future Sequences
Version: 1.0.1
Authors@R: c(person("Giancarlo", "Vercellino", role = c("aut", "cre", "cph"), email = "giancarlo.vercellino@gmail.com"))
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: 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.
License: GPL-3
LazyData: true
RoxygenNote: 7.3.3
Imports: torch (>= 0.11.0), purrr (>= 1.0.1), imputeTS (>= 3.3),
        lubridate (>= 1.9.2), ggplot2 (>= 3.5.1), scales (>= 1.3.0),
        abind (>= 1.4-5), coro (>= 1.1.0)
Encoding: UTF-8
URL: https://rpubs.com/giancarlo_vercellino/unfold
Suggests: knitr, testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-06-14 08:15:58 UTC; root
Author: Giancarlo Vercellino [aut, cre, cph]
Config/pak/sysreqs: libicu-dev libjpeg-dev libpng-dev libxml2-dev
        libssl-dev
Repository: https://pigian.r-universe.dev
Date/Publication: 2026-04-15 08:11:08 UTC
RemoteUrl: https://github.com/cran/unfold
RemoteRef: HEAD
RemoteSha: ee7636d55da6064c22d07b66f3d06c55a8815d15