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MixStable

0.1.0

Parameter Estimation for Stable Distributions and Their Mixtures

0packages depend
1.7Kdownloads / year
38.1%test coverage
12/13checks pass

Overview

About
Maintained by Solym Manou-AbiFirst published 2025-11-031 releasesCRAN page ↗

Provides various functions for parameter estimation of one-dimensional stable distributions and their mixtures. It implements a diverse set of estimation methods, including quantile-based approaches, regression methods based on the empirical characteristic function (empirical, kernel, and recursive), and maximum likelihood estimation. For mixture models, it provides stochastic expectation–maximization (SEM) algorithms and Bayesian estimation methods using sampling and importance sampling to overcome the long burn-in period of Markov Chain Monte Carlo (MCMC) strategies. The package also includes tools and statistical tests for analyzing whether a dataset follows a stable distribution. Some of the implemented methods are described in Hajjaji, O., Manou-Abi, S. M., and Slaoui, Y. (2024) doi:10.1080/02664763.2024.2434627.

Install

Health

CRAN checks
1ERROR12OK
Failing flavors
  • ERROR r-release-linux-x86_64
Slowest check: 10.2 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.17
38.1%
Coverage · measured lines
100%
Documentation · exports
11
Dependencies · direct
Check history
  • ERROR2026-08-16
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  • OK2026-08-05
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  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 9 earlier snapshots
  • OK2026-06-03
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-02
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-10
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-05-09
    12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-04
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  • ERROR2026-04-03
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  • OK2026-03-28
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  • ERROR2026-03-21
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  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
not tracked
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

1.7K
CRAN downloads in the past year
Rank #20,238 · ~5/day · ~144/mo
Daily download trend is not available in this view yet.
16030 days
54590 days
1.7K1 year
Compare downloads with other packages →
Also on58 r2u20 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Suggests (5)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-11-03
Total releases
1 / 1 yrs
License
GPL-3 OSI
Bundled data
119 KB / 4 files
Download size
107 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MixStable")
Manou-Abi, S., Najib, A., & Slaoui, Y. (2025). MixStable: Parameter Estimation for Stable Distributions and Their Mixtures (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.MixStable

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 MixStable version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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