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ARCensReg

3.0.2Package record

Fitting Univariate Censored Linear Regression Model with Autoregressive Errors

0packages depend
4.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Changes in 3.0.2
  • Minor edits to documentation in response to CRAN's cross-referencing edits.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.3 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 3.0.2
READMEYes · 954 wordsVignettesNoNEWSYes · 100% structured · mentions 3.0.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
13
Examples that run
54%7 run in a plain check · 6 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
81%
Return-value docs
100%
Help pages citing references
38% with a bibliography file

Downloads

4.7K
CRAN downloads in the past year
Rank #5,870 · ~13/day · ~388/mo
Daily download trend is not available in this view yet.
52930 days
1.4K90 days
4.7K1 year
Compare downloads with other packages →
Also on427 r2u48 autocran159 c2d4u

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing ARCensReg adds 52 packages (28 with compiled code, 34 MB of source tarballs). Heaviest: ggplot2 6.0 MB, opdisDownsampling 2.9 MB, robustbase 2.2 MB.

Depends (0)
none
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 1.0 (2016)
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
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 3.0.2Latest
    record
    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
    record
    2023-08-29 · diff ↗ ·
    added 1 export
    ARtCensReg
  • 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
    record
    2016-09-11 · diff ↗
  • 2.0
    record
    2016-09-09 · diff ↗ ·
    added 2 exports
    rARCens, InfDiag
  • 1.0
    record
    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
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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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