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ARCensReg

3.0.2

Fitting Univariate Censored Linear Regression Model with Autoregressive Errors

0packages depend
4.7Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Fernanda L. SchumacherFirst published 2016-05-165 releasesCRAN page ↗

It fits a univariate left, right, or interval censored linear regression model with autoregressive errors, considering the normal or the Student-t distribution for the innovations. It provides estimates and standard errors of the parameters, predicts future observations, and supports missing values on the dependent variable. References used for this package: Schumacher, F. L., Lachos, V. H., & Dey, D. K. (2017). Censored regression models with autoregressive errors: A likelihood-based perspective. Canadian Journal of Statistics, 45(4), 375-392 doi:10.1002/cjs.11338. Schumacher, F. L., Lachos, V. H., Vilca-Labra, F. E., & Castro, L. M. (2018). Influence diagnostics for censored regression models with autoregressive errors. Australian & New Zealand Journal of Statistics, 60(2), 209-229 doi:10.1111/anzs.12229. Valeriano, K. A., Schumacher, F. L., Galarza, C. E., & Matos, L. A. (2024). Censored autoregressive regression models with Student‐t innovations. Canadian Journal of Statistics, 52(3), 804-828 doi:10.1002/cjs.11804.

Install

Health

CRAN checks
13OK
Slowest check: 4.6 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
13
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
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 954 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
54%
Documented parameters
81%
Return-value docs
100%
References docs
38%

Downloads

4.7K
CRAN downloads in the past year
Rank #7,768 · ~13/day · ~390/mo
Daily download trend is not available in this view yet.
35230 days
1.1K90 days
4.7K1 year
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Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (4)
Contributor · added in 3.0.1
Contributor · added in 3.0.1
Contributor · added in 3.0.1
Contributor
Listed in earlier versions (1)
no longer listed · 1.0 to 2.1
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 3.0.2Latest
    2025-08-26 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 3.0.1
    2023-08-29 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 2.1
    2016-09-11 · diff ↗
  • 2.0
    2016-09-09 · diff ↗
  • 1.0
    2016-05-16
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-05-16
Total releases
5 / 10 yrs
License
GPL (>= 2) OSI
Bundled data
4.0 KB / 2 files
Download size
116 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ARCensReg")
L. Schumacher, F., A. Matos, L., G. Morales, C., L. Valeriano, K. A., & Lachos, V. H. (2025). ARCensReg: Fitting Univariate Censored Linear Regression Model with Autoregressive Errors (Version 3.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ARCensReg

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 ARCensReg version 3.0.2 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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