Factor-Augmented Regression Scenarios R package FARS version 0.8.0 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 group-specific factors using a flexible multi-level factor structure; (ii) compute asymptotically valid confidence regions for the estimated factors, accounting for uncertainty in the factor loadings; (iii) obtain estimates of the parameters of the factor-augmented quantile regressions together with their standard deviations; (iv) recover full predictive conditional densities from estimated quantiles; (v) obtain risk measures based on extreme quantiles of the conditional densities; (vi) estimate the conditional density and the corresponding extreme quantiles when the factors are stressed. Software Depends: R (>= 3.5.0) Imports: rlang, magrittr, ggplot2, plotly, sn, nloptr, ellipse, SyScSelection, quantreg, tidyr, dplyr, forcats, MASS, reshape2, stringr, stats, Suggests: R.rsp, devtools, knitr, rmarkdown, markdown, openxlsx, readxl, zoo Gian Pietro Bellocca <gbellocc@est-econ.uc3m.es> Comprehensive R Archive Network (CRAN) Gian Pietro Bellocca [aut, cre], Ignacio Garrón [aut], Vladimir Rodríguez-Caballero [aut], Esther Ruiz [aut] GPL (>= 2) 2026-02-17 application/tgz https://CRAN.R-project.org/package=FARS doi:10.32614/CRAN.package.FARS