# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "rollcast" in publications use:' type: software license: MIT title: 'rollcast: Probabilistic Forecasting with Adaptive Mixtures of Rolling Statistics' version: 0.1.0 doi: 10.32614/CRAN.package.rollcast abstract: Implements a probabilistic time-series forecasting framework based on adaptive mixtures of rolling statistical anchors. Rolling means, medians, minimum and maximum values, regression endpoints, and user-specified quantiles define candidate forecast locations. A proper-score gating model assigns state-dependent mixture weights, optional state-conditional residual sampling adds local dispersion, and recursive simulation produces marginal and joint predictive distributions. Numeric hyperparameters can be supplied as scalars or candidate vectors for causal validation-based selection. authors: - family-names: Vercellino given-names: Giancarlo email: giancarlo.vercellino@gmail.com repository: https://pigian.r-universe.dev commit: e3b36d9e21728320de6d001ff82f76787d4cfcb5 date-released: '2026-09-02' contact: - family-names: Vercellino given-names: Giancarlo email: giancarlo.vercellino@gmail.com