Other packages > Find by keyword >

FARS  

Factor-Augmented Regression Scenarios
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", "0.7.1")



Attach the package and use:
library("FARS")
Maintained by
Gian Pietro Bellocca
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-03
Latest Update: 2025-07-16
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 0.7.1, https://cran.r-project.org/web/packages/FARS. Accessed 12 Sep. 2026.
Previous versions and publish date:
0.1.0 (2025-04-03 17:10), 0.2.0 (2025-05-08 12:40), 0.3.0 (2025-05-22 12:50), 0.4.0 (2025-06-13 10:20), 0.5.0 (2025-07-16 10:50), 0.6.0 (2025-10-07 17:30), 0.6.1 (2025-10-08 12:40), 0.7.0 (2025-10-26 20:50), 0.7.1 (2025-11-05 12:40), (2026-07-09 08:03)
Other packages that cited FARS R package
View FARS citation profile
Other R packages that FARS depends, imports, suggests or enhances
Complete documentation for FARS
Functions, R codes and Examples using the FARS R package
Full FARS package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

NScluster  
Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models
Simulation and estimation for Neyman-Scott spatial cluster point process models and their extension ...
Download / Learn more Package Citations See dependency  
unikn  
Graphical Elements of the University of Konstanz's Corporate Design
Define and use graphical elements of corporate design manuals in R. The 'unikn' package provides col ...
Download / Learn more Package Citations See dependency  
qdapTools  
Tools for the 'qdap' Package
A collection of tools associated with the 'qdap' package that may be useful outside of the context ...
Download / Learn more Package Citations See dependency  
mixl  
Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
Specification and estimation of multinomial logit models. Large datasets and complex models are su ...
Download / Learn more Package Citations See dependency  
electionsBR  
R Functions to Download and Clean Brazilian Electoral Data
Offers a set of functions to easily download and clean Brazilian electoral data from the Superior E ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

28,480

R Packages

239,283

Dependencies

75,677

Author Associations

28,481

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA