# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "bridgr" in publications use:'
type: software
license: MIT
title: 'bridgr: Bridging Data Frequencies for Timely Economic Forecasts'
version: 1.0.0
doi: 10.32614/CRAN.package.bridgr
abstract: Implements bridge and MIDAS-style mixed-frequency models for nowcasting
  and forecasting macroeconomic variables by linking higher-frequency indicator variables
  to a lower-frequency target series. The package standardizes input data, infers
  regular frequencies, forecasts missing indicator observations, and aggregates indicators
  to the target frequency before fitting a regression with autoregressive target dynamics.
  Frequency alignment can be customized through user-supplied conversion rules. For
  more on bridge and MIDAS models, see Baffigi, A., Golinelli, R., & Parigi, G. (2004)
  <https://doi.org/10.1016/S0169-2070(03)00067-0>, Ghysels, Sinko, & Valkanov (2007)
  <https://doi.org/10.1080/07474930600972467>, Andreou, Ghysels, & Kourtellos (2010)
  <https://doi.org/10.1016/j.jeconom.2010.01.004>, Schumacher (2016) <https://doi.org/10.1016/j.ijforecast.2015.07.004>,
  and Burri (2026) <https://doi.org/10.1111/obes.70073>.
authors:
- family-names: Burri
  given-names: Marc
  email: marc.burri91@gmail.com
  orcid: https://orcid.org/0000-0001-8974-9090
repository: https://ropensci-staging.r-universe.dev
repository-code: https://github.com/marcburri/bridgr
commit: f61121971cc4e6f6419fe3bd912df3759b4cfe42
url: https://marcburri.github.io/bridgr/
date-released: '2026-08-22'
contact:
- family-names: Burri
  given-names: Marc
  email: marc.burri91@gmail.com
  orcid: https://orcid.org/0000-0001-8974-9090