Mapping Hidden Geometry into Future Sequences R package unfold version 1.0.1 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. Software Depends: R (>= 4.1.0) 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) Suggests: knitr, testthat (>= 3.0.0) Giancarlo Vercellino <giancarlo.vercellino@gmail.com> Comprehensive R Archive Network (CRAN) Giancarlo Vercellino [aut, cre, cph] GPL-3 2026-04-15 application/tgz https://CRAN.R-project.org/package=unfold doi:10.32614/CRAN.package.unfold