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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "unfold" in publications use:'
type: software
license: GPL-3.0-only
title: 'unfold: Mapping Hidden Geometry into Future Sequences'
version: 1.0.1
doi: 10.32614/CRAN.package.unfold
abstract: '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:
- family-names: Vercellino
  given-names: Giancarlo
  email: giancarlo.vercellino@gmail.com
repository: https://pigian.r-universe.dev
commit: ee7636d55da6064c22d07b66f3d06c55a8815d15
url: https://rpubs.com/giancarlo_vercellino/unfold
date-released: '2026-04-15'
contact:
- family-names: Vercellino
  given-names: Giancarlo
  email: giancarlo.vercellino@gmail.com