R Observatory: Metrics for autovarCore version 1.0-4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2019-12-21. Its history is shown below.

Reason: check problems were not corrected in time

Details below reflect version 1.0-4, its last release before removal.

autovarCore

1.0-4

Automated Vector Autoregression Models and Networks

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Ando Emerencia3 releasesCRAN page ↗

Automatically find the best vector autoregression models and networks for a given time series data set. 'AutovarCore' evaluates eight kinds of models: models with and without log transforming the data, lag 1 and lag 2 models, and models with and without weekday dummy variables. For each of these 8 model configurations, 'AutovarCore' evaluates all possible combinations for including outlier dummies (at 2.5x the standard deviation of the residuals) and retains the best model. Model evaluation includes the Eigenvalue stability test and a configurable set of residual tests. These eight models are further reduced to four models because 'AutovarCore' determines whether adding weekday dummies improves the model fit.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/autovarCore/autovarCore_1.0-4.tar.gz"
pkgFile <- "autovarCore_1.0-4.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.0-4) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

Yes

Tests · ratio 2.15

not tracked

Coverage

100%

Documentation · exports

7

Dependencies · direct

Documentation

READMEYes · 473 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 92%
Documented parameters: 90%
Return-value docs: 100%
References docs: 3%

Downloads

autovarCore Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on83 c2d4u

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (7)

Rcpp Amelia jsonliteparallelstatsurca vars

LinkingTo (1)

Rcpp

Suggests (2)

testthat roxygen2

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Ando Emerencia

Author, Maintainer

Authors (1)

Ando Emerencia

Author, Maintainer

Package Timeline

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

R
R 4.0.0 released · 2020-04-24
archivedRemoved from CRAN
2019-12-21
check problems were not corrected in time
R
R 3.6.0 released · 2019-04-26
1.0-4
2018-06-04 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.0-2
2018-01-29 · diff ↗
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
1.0-0
2015-06-29
R
R 3.2.0 released · 2015-04-16

Package metadata

Total releases: 3
License: MIT + file LICENSE OSI
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("autovarCore")

Format

Emerencia, A. (n.d.). autovarCore: Automated Vector Autoregression Models and Networks (Version 1.0-4) [Computer software]. Retrieved August 15, 2026, from https://CRAN.R-project.org/package=autovarCore

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for autovarCore version 1.0-4 [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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