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bridgr
View on CRAN: Click
here
Download and install bridgr package within the R console
Install from CRAN:
install.packages("bridgr")
Install from Github:
library("remotes")
install_github("cran/bridgr")
Install by package version:
library("remotes")
install_version("bridgr", "0.1.1")
Attach the package and use:
library("bridgr")
Maintained by
Marc Burri
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.bridgr . https://github.com/marcburri/bridgr/issues . https://github.com/marcburri/bridgr . https://marcburri.github.io/bridgr/ . bridgr results . bridgr.pdf . Introduction to bridgr . bridgr_0.1.1.tar.gz . bridgr_0.1.1.zip . bridgr_0.1.1.zip . bridgr_0.1.1.zip . bridgr_0.1.1.tgz . bridgr_0.1.1.tgz . bridgr_0.1.1.tgz . bridgr_0.1.1.tgz . bridgr_0.1.1.tgz . bridgr_0.1.1.tgz . https://CRAN.R-project.org/package=bridgr .
First Published: 2024-12-13
Latest Update: 2024-12-13
Description:
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>.
How to cite:
Marc Burri (2024). bridgr: Bridging Data Frequencies for Timely Economic Forecasts. R package version 0.1.1, https://cran.r-project.org/web/packages/bridgr. Accessed 20 Feb. 2025.
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