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vasicekreg

1.1.0

Regression Modeling Using Vasicek Distribution

0packages depend
24.7Kdownloads / year
91.1%test coverage
13/13checks pass

Overview

About
Maintained by Josmar MazucheliFirst published 2021-05-074 releasesCRAN page ↗

Provides density, cumulative distribution, quantile, and random generation functions for Vasicek distributions with standard normal and standard logistic kernels. The normal-kernel distribution is parameterized by either its mean or a fixed quantile, whereas the logistic-kernel distribution uses a fixed-quantile parameterization. Zero-adjusted, one-adjusted, and zero-and-one-adjusted extensions of the normal-kernel mean parameterization are also provided for responses that include boundary values. The corresponding 'NVASIM', 'NVASIQ', 'LVASIQ', 'ZANVASIM', 'OANVASIM', and 'ZOANVASIM' families are available for fitting Generalized Additive Models for Location, Scale and Shape, as introduced by Rigby and Stasinopoulos (2005, doi:10.1111/j.1467-9876.2005.00510.x). Some functions are written in 'C++' using 'Rcpp', developed by Eddelbuettel and Francois (2011, doi:10.18637/jss.v040.i08).

Install

Health

CRAN checks
13OK
Slowest check: 3.3 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.35
91.1%
Coverage · measured lines
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-04
    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 · 728 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
88%
Documented parameters
92%
Return-value docs
100%
References docs
88%

Downloads

24.7K
CRAN downloads in the past year
Rank #7,004 · ~68/day · ~2.1K/mo
Daily download trend is not available in this view yet.
30330 days
1.2K90 days
24.7K1 year
Compare downloads with other packages →
Also on409 r2u22 autocran13 c2d4u

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6
LinkingTo (1)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (1)
Contributor
Package Timeline

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

  • 1.1.0Latest
    2026-08-20 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2
    2026-01-12 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.1
    2021-05-27 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.0
    2021-05-07
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-05-07
Total releases
4 / 5 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.6
Bundled data
5.4 KB / 1 file
Download size
46 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("vasicekreg")
Mazucheli, J., & Alves, B. (2026). vasicekreg: Regression Modeling Using Vasicek Distribution (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.vasicekreg

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 vasicekreg version 1.1.0 [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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