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This package was removed from CRAN on 2026-04-30. Its history is shown below.
Reason: email to the maintainer is undeliverable
Details below reflect version 0.1, its last release before removal.

Zero-Inflated and Hurdle Modelling Using Bayesian Inference

0packages depend
808downloads / year
–test coverage
–flavors OK

Overview

About

When considering count data, it is often the case that many more zero counts than would be expected of some given distribution are observed. It is well established that data such as this can be reliably modelled using zero-inflated or hurdle distributions, both of which may be applied using the functions in this package. Bayesian analysis methods are used to best model problematic count data that cannot be fit to any typical distribution. The package functions are flexible and versatile, and can be applied to varying count distributions, parameter estimation with or without explanatory variable information, and are able to allow for multiple hurdles as it is also not uncommon that count data have an abundance of large-number observations which would be considered outliers of the typical distribution. In lieu of throwing out data or misspecifying the typical distribution, these extreme observations can be applied to a second, extreme distribution. With the given functions of this package, such a two-hurdle model may be easily specified in order to best manage data that is both zero-inflated and over-dispersed.

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Status changes
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
15
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
89%
Return-value docs
100%
Help pages citing references
0%

Downloads

808
CRAN downloads in the past year
Rank #25,731 · ~2/day · ~67/mo
Daily download trend is not available in this view yet.
Also on68 r2u6 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.3.0
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Author, Maintainer since 0.1 (2017)
Releases (1)
  • archivedRemoved from CRAN
    2026-04-30
    email to the maintainer is undeliverable
  • R
    R 4.6.0 released · 2026-04-24
  • 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
  • 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
  • 2017-07-02
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-07-02
Total releases
1 / 9 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.3.0
Download size
16 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hurdlr")
Balderama, E., & Trippe, T. (n.d.). hurdlr: Zero-Inflated and Hurdle Modelling Using Bayesian Inference (Version 0.1) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=hurdlr

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 hurdlr version 0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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