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# CITATION.cff 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 "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