Constrained Mixture of Generalized Normal Distributions
Overview
The 'cmgnd' implements the constrained mixture of generalized normal distributions model, a flexible statistical framework for modelling univariate data exhibiting non-normal features such as skewness, multi-modality, and heavy tails. By imposing constraints on model parameters, the 'cmgnd' reduces estimation complexity while maintaining high descriptive power, offering an efficient solution in the presence of distributional irregularities. For more details see Duttilo and Gattone (2025) doi:10.1007/s00180-025-01638-x and Duttilo et al (2025) doi:10.48550/arXiv.2506.03285.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 7
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 14%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 29%
Downloads
Repository
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/pierdutt/cmgnd on 2026-10-11.
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Dependencies
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- 0.1.1Latest2025-07-18 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-07-18
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 129 KB
Cite
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