Skip to content
This package was removed from CRAN on 2022-08-08. Its history is shown below.
Reason: issues were not corrected in time
Details below reflect version 0.5.6, its last release before removal.

mfbvar

0.5.6Package record

Mixed-Frequency Bayesian VAR Models

0packages depend
–downloads / year
–test coverage
–flavors OK

Overview

About

Functions and tools for estimation of mixed-frequency Bayesian vector autoregressive (VAR) models. The package implements a state space-based VAR model that handles mixed frequencies of the data as proposed by Schorfheide and Song (2015) doi:10.1080/07350015.2014.954707, and extensions thereof developed by Ankargren, Unosson and Yang (2020) doi:10.1515/jtse-2018-0034, Ankargren and Joneus (2019) arXiv:1912.02231, and Ankargren and Joneus (2020) doi:10.1016/j.ecosta.2020.05.007. The models are estimated using Markov Chain Monte Carlo to numerically approximate the posterior distribution. Prior distributions that can be used include normal-inverse Wishart and normal-diffuse priors as well as steady-state priors. Stochastic volatility can be handled by common or factor stochastic volatility models.

Changes in 0.5.6
  • Removed use of internet connection in vignette
  • Enabled use of weekly-monthly frequency mix

From NEWS.md in the release

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

Documentation

In release 0.5.6
READMEYes · 38 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.5.6Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
16includes a package overview page
Examples that run
100%10 run in a plain check
Exported functions with examples
80%
Documented parameters
96%
Return-value docs
100%
Help pages citing references
25%

Downloads

Daily download trend is not available in this view yet.
Also on274 r2u6 autocran124 c2d4u

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Enhances (0)
none
Reverse dependencies
0direct
–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer since 0.4.0 (2018), Author
Contributor · added in 0.5.2
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.3.0 released · 2023-04-21
  • archivedRemoved from CRAN
    2022-08-08
    issues were not corrected in time
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • unarchivedReturned to CRAN
    2021-02-10
  • 0.5.6
    record
    2021-02-10 · diff ↗
  • archivedRemoved from CRAN
    2021-02-05
    check problems were not corrected in time
  • 0.5.4
    record
    2020-05-28 · diff ↗ ·
    removed 1 export
    mcmc_sampler
  • R
    R 4.0.0 released · 2020-04-24
  • 0.5.3
    record
    2020-03-19 · diff ↗
  • 0.5.2
    record
    2020-01-09 · diff ↗
  • 0.5.1
    record
    2019-09-02 · diff ↗ ·
    added 1 export
    varplot
  • R
    R 3.6.0 released · 2019-04-26
  • 0.4.0
    record
    2018-12-27
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-12-27
Total releases
6 / 8 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
12 KB / 2 files

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mfbvar")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 mfbvar version 0.5.6 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy