cmgnd: Constrained Mixture of Generalized Normal Distributions

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>.

Version:	0.1.1
Depends:	R (≥ 4.0.0)
Imports:	RcppAlgos, lubridate, stats, utils, gnorm, purrr, ggplot2
Published:	2025-07-18
DOI:	10.32614/CRAN.package.cmgnd
Author:	Pierdomenico Duttilo [aut, cre], Stefano Antonio Gattone [aut], Alfred Kume [aut]
Maintainer:	Pierdomenico Duttilo <pierdomenico.duttilo at unipd.it>
BugReports:	https://github.com/pierdutt/cmgnd/issues
License:	GPL (≥ 3)
URL:	https://github.com/pierdutt/cmgnd
NeedsCompilation:	no
Materials:	README
CRAN checks:	cmgnd results

Documentation:

Reference manual:

cmgnd.html , cmgnd.pdf

Downloads:

Package source:	cmgnd_0.1.1.tar.gz
Windows binaries:	r-devel: not available, r-release: cmgnd_0.1.1.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): cmgnd_0.1.1.tgz, r-oldrel (x86_64): cmgnd_0.1.1.tgz

Linking:

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