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: 2026-04-14 18:15:13 UTC; gianc
Author: Giancarlo Vercellino [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-04-15 05:10:02 UTC
Built: R 4.5.2; ; 2026-04-20 23:34:45 UTC; unix
