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iAR

1.3.4

Irregularly Observed Autoregressive Models

0packages depend
4.1Kdownloads / year
7.3%test coverage
11/13checks pass

Overview

About
Maintained by Elorrieta FelipeFirst published 2021-04-159 releasesCRAN page ↗

Data sets, functions and scripts with examples to implement autoregressive models for irregularly observed time series. The models available in this package are the irregular autoregressive model (Eyheramendy et al.(2018) doi:10.1093/mnras/sty2487), the complex irregular autoregressive model (Elorrieta et al.(2019) doi:10.1051/0004-6361/201935560) and the bivariate irregular autoregressive model (Elorrieta et al.(2021) doi:10.1093/mnras/stab1216).

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 6.6 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.02
7.3%
Coverage · measured lines
100%
Documentation · exports
6
Dependencies · direct
Check history
  • NOTE2026-07-11
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 102 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
50%
References docs
59%

Downloads

4.1K
CRAN downloads in the past year
Rank #6,414 · ~11/day · ~344/mo
Daily download trend is not available in this view yet.
22830 days
1.3K90 days
4.1K1 year
Compare downloads with other packages →
Also on417 r2u15 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (6)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Package Timeline

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

  • 1.3.4Latest
    2026-05-16 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.3.2
    2025-10-24 · diff ↗
  • 1.3.1
    2025-07-03 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.3.0
    2025-03-10 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2.0
    2022-11-25 · diff ↗
  • 1.1.0
    2022-07-12 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.1
    2022-04-20 · diff ↗
  • unarchivedReturned to CRAN
    2022-04-20
  • archivedRemoved from CRAN
    2022-04-17
    check issues were not corrected in time
  • 1.0
    2022-04-02 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
Show 2 earlier events
  • 0.1.0
    2021-04-15
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-04-15
Total releases
9 / 5 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
21 KB / 8 files
Download size
352 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("iAR")
Felipe, E., Cesar, O., Susana, E., & Wilfredo, P. (2026). iAR: Irregularly Observed Autoregressive Models (Version 1.3.4) [Computer software]. https://doi.org/10.32614/CRAN.package.iAR

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 iAR version 1.3.4 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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