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FARS
View on CRAN: Click
here
Download and install FARS package within the R console
Install from CRAN:
install.packages("FARS")
Install from Github:
library("remotes")
install_github("cran/FARS")
Install by package version:
library("remotes")
install_version("FARS", "0.1.0")
Attach the package and use:
library("FARS")
Maintained by
Gian Pietro Bellocca
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-03
Latest Update: 2025-04-03
Description:
Provides a comprehensive framework in R for modeling and forecasting economic scenarios based on multi-level dynamic factor model. The package enables users to: (i) extract global and block-specific factors using a flexible multilevel factor structure; (ii) compute asymptotically valid confidence regions for the estimated factors, accounting for uncertainty in the factor loadings; (iii) estimate factor-augmented quantile regressions; (iv) recover full predictive densities from these quantile forecasts; and (v) estimate the density when the factors are stressed.
How to cite:
Gian Pietro Bellocca (2025). FARS: Factor-Augmented Regression Scenarios. R package version 0.1.0, https://cran.r-project.org/web/packages/FARS. Accessed 19 Apr. 2025.
Previous versions and publish date:
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