# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "PointFore" in publications use:' type: software license: CC0-1.0 title: 'PointFore: Interpretation of Point Forecasts as State-Dependent Quantiles and Expectiles' version: 0.2.1 doi: 10.32614/CRAN.package.PointFore abstract: 'Estimate specification models for the state-dependent level of an optimal quantile/expectile forecast. Wald Tests and the test of overidentifying restrictions are implemented. Plotting of the estimated specification model is possible. The package contains two data sets with forecasts and realizations: the daily accumulated precipitation at London, UK from the high-resolution model of the European Centre for Medium-Range Weather Forecasts (ECMWF, ) and GDP growth Greenbook data by the US Federal Reserve. See Schmidt, Katzfuss and Gneiting (2015) for more details on the identification and estimation of a directive behind a point forecast.' authors: - family-names: Schmidt given-names: Patrick email: pschmidte@gmail.com repository: https://cran.r-universe.dev commit: a29654a83cd588be57efac2f5bc9e07b24595497 date-released: '2026-07-21' contact: - family-names: Schmidt given-names: Patrick email: pschmidte@gmail.com