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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 "SSAforecast" in publications use:'
type: software
license: GPL-3.0-only
title: 'SSAforecast: SSA Based Decomposition and Forecasting'
version: 0.1.1
doi: 10.32614/CRAN.package.SSAforecast
abstract: Singular spectrum analysis (SSA) decomposes a time series into interpretable
  components like trends, oscillations, and noise without strict distributional and
  structural assumptions. For method details see Golyandina N, Zhigljavsky A (2013).
  <https://doi.org/10.1007/978-3-642-34913-3>.
authors:
- family-names: Kumar
  given-names: Prabhat
- family-names: Jha
  given-names: Girish Kumar
- family-names: Kumar
  given-names: Rajeev Ranjan
  email: rrk.uasd@gmail.com
repository: https://rrk4910.r-universe.dev
commit: 86c767963ee8316e02139cd4d7c833ae5b978238
date-released: '2025-09-22'
contact:
- family-names: Kumar
  given-names: Rajeev Ranjan
  email: rrk.uasd@gmail.com