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RGAP

0.1.1

Production Function Output Gap Estimation

0packages depend
2.2Kdownloads / year
44.3%test coverage
13/13checks pass

Overview

About
Maintained by Sina StreicherFirst published 2023-06-012 releasesCRAN page ↗

The output gap indicates the percentage difference between the actual output of an economy and its potential. Since potential output is a latent process, the estimation of the output gap poses a challenge and numerous filtering techniques have been proposed. 'RGAP' facilitates the estimation of a Cobb-Douglas production function type output gap, as suggested by the European Commission (Havik et al. 2014) https://ideas.repec.org/p/euf/ecopap/0535.html. To that end, the non-accelerating wage rate of unemployment (NAWRU) and the trend of total factor productivity (TFP) can be estimated in two bivariate unobserved component models by means of Kalman filtering and smoothing. 'RGAP' features a flexible modeling framework for the appropriate state-space models and offers frequentist as well as Bayesian estimation techniques. Additional functionalities include direct access to the 'AMECO' https://economy-finance.ec.europa.eu/economic-research-and-databases/economic-databases/ameco-database_en database and automated model selection procedures. See the paper by Streicher (2022) http://hdl.handle.net/20.500.11850/552089 for details.

Install

Health

CRAN checks
13OK
Slowest check: 3.3 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.04
44.3%
Coverage · measured lines
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 348 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
97%
Return-value docs
100%
References docs
0%

Downloads

2.2K
CRAN downloads in the past year
Rank #17,086 · ~6/day · ~179/mo
Daily download trend is not available in this view yet.
13830 days
63490 days
2.2K1 year
Compare downloads with other packages →
Also on121 r2u14 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.1.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.1Latest
    2023-11-02 · current release · diff ↗
  • 0.1.0
    2023-06-01
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-06-01
Total releases
2 / 3 yrs
License
GPL-3 OSI
Minimum R
≥ 3.1.0
Bundled data
185 KB / 2 files
Download size
1.1 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RGAP")
Streicher, S. (2023). RGAP: Production Function Output Gap Estimation (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.RGAP

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 RGAP version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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