# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "wired" in publications use:' type: software license: GPL-3.0-only title: 'wired: Weighted Adaptive Prediction with Structured Dependence' version: 1.0.1 doi: 10.32614/CRAN.package.wired abstract: 'Builds a joint probabilistic forecast across series and horizons using adaptive copulas (Gaussian/t) with shrinkage-repaired correlations. At the low level it calls a probabilistic mixer per series and horizon, which backtests several simple predictors, predicts next-window Continuous Ranked Probability Score (CRPS), and converts those scores into softmax weights to form a calibrated mixture (r/q/p/dfun). The mixer blends eight simple predictors: a naive predictor that wraps the last move in a PERT distribution; an arima predictor using auto.arima for one-step forecasts; an Exponentially Weighted Moving Average (EWMA) gaussian predictor with mean/variance under a Gaussian; a historical bootstrap predictor that resamples past horizon-aligned moves; a drift residual bootstrap predictor combining linear trend with bootstrapped residuals; a volatility-scaled naive predictor centering on the last move and scaling by recent volatility; a robust median mad predictor using median/MAD with Laplace or Normal shape; and a shrunk quantile predictor that fits a few quantile regressions over time and interpolates to a full predictive. The function then couples the per-series mixtures on a common transform (additive/multiplicative/log-multiplicative), simulates coherent draws, and returns both transformed- and level-scale samplers and summaries.' authors: - family-names: Vercellino given-names: Giancarlo email: giancarlo.vercellino@gmail.com repository: https://pigian.r-universe.dev commit: 45b7db605e69154edef90022bb1a8e806938a672 url: https://rpubs.com/giancarlo_vercellino/wired date-released: '2026-04-13' contact: - family-names: Vercellino given-names: Giancarlo email: giancarlo.vercellino@gmail.com