bridgr: Bridging Data Frequencies for Timely Economic Forecasts

Implements bridge models for nowcasting and forecasting macroeconomic variables by linking high-frequency indicator variables (e.g., monthly data) to low-frequency target variables (e.g., quarterly GDP). Simplifies forecasting and aggregating indicator variables to match the target frequency, enabling timely predictions ahead of official data releases. For more on bridge models, see Baffigi, A., Golinelli, R., & Parigi, G. (2004) <doi:10.1016/S0169-2070(03)00067-0>, Burri (2023) <https://www5.unine.ch/RePEc/ftp/irn/pdfs/WP23-02.pdf> or Schumacher (2016) <doi:10.1016/j.ijforecast.2015.07.004>.

Version:	0.1.1
Depends:	R (≥ 3.5)
Imports:	magrittr, dplyr, rlang, generics, tsbox, lubridate, forecast
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-12-13
DOI:	10.32614/CRAN.package.bridgr
Author:	Marc Burri [aut, cre, cph]
Maintainer:	Marc Burri <marc.burri91 at gmail.com>
BugReports:	https://github.com/marcburri/bridgr/issues
License:	MIT + file LICENSE
URL:	https://github.com/marcburri/bridgr, https://marcburri.github.io/bridgr/
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	bridgr results

Documentation:

Reference manual:	bridgr.pdf
Vignettes:	Introduction to bridgr (source, R code)

Downloads:

Package source:	bridgr_0.1.1.tar.gz
Windows binaries:	r-devel: bridgr_0.1.1.zip, r-release: bridgr_0.1.1.zip, r-oldrel: bridgr_0.1.1.zip
macOS binaries:	r-release (arm64): bridgr_0.1.1.tgz, r-oldrel (arm64): bridgr_0.1.1.tgz, r-release (x86_64): bridgr_0.1.1.tgz, r-oldrel (x86_64): bridgr_0.1.1.tgz

Linking:

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