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atRisk

0.2.0Package record

At-Risk

0packages depend
3.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

The at-Risk (aR) approach is based on a two-step parametric estimation procedure that allows to forecast the full conditional distribution of an economic variable at a given horizon, as a function of a set of factors. These density forecasts are then be used to produce coherent forecasts for any downside risk measure, e.g., value-at-risk, expected shortfall, downside entropy. Initially introduced by Adrian et al. (2019) doi:10.1257/aer.20161923 to reveal the vulnerability of economic growth to financial conditions, the aR approach is currently extensively used by international financial institutions to provide Value-at-Risk (VaR) type forecasts for GDP growth (Growth-at-Risk) or inflation (Inflation-at-Risk). This package provides methods for estimating these models. Datasets for the US and the Eurozone are available to allow testing of the Adrian et al. (2019) model. This package constitutes a useful toolbox (data and functions) for private practitioners, scholars as well as policymakers.

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
11
Examples that run
75%6 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
36%

Downloads

3.2K
CRAN downloads in the past year
Rank #12,372 · ~9/day · ~263/mo
Daily download trend is not available in this view yet.
38230 days
87790 days
3.2K1 year
Compare downloads with other packages →
Also on117 r2u19 autocran37 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing atRisk adds 25 packages (10 with compiled code, 18 MB of source tarballs). Heaviest: ggplot2 6.0 MB, ggridges 2.1 MB, isoband 1.5 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.0 (2023)
Author, Contributor
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.0Latest
    record
    2025-01-14 · current release · diff ↗ ·
    removed 1 export
    f_param_histo
    added 1 export
    f_nadaraya_watson_quantile
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.0
    record
    2023-08-08
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-08-08
Total releases
2 / 3 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
7.5 KB / 3 files
Download size
20 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("atRisk")
Lajaunie, Q., Flament, G., Hurlin, C., & Kazemi, S. (2025). atRisk: At-Risk (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.atRisk

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for atRisk version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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