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cmgnd  

Constrained Mixture of Generalized Normal Distributions
View on CRAN: Click here


Download and install cmgnd package within the R console
Install from CRAN:
install.packages("cmgnd")

Install from Github:
library("remotes")
install_github("cran/cmgnd")

Install by package version:
library("remotes")
install_version("cmgnd", "0.1.1")



Attach the package and use:
library("cmgnd")
Maintained by
Pierdomenico Duttilo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-18
Latest Update: 2025-07-18
Description:
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>.
How to cite:
Pierdomenico Duttilo (2025). cmgnd: Constrained Mixture of Generalized Normal Distributions. R package version 0.1.1, https://cran.r-project.org/web/packages/cmgnd. Accessed 27 Oct. 2026.
Previous versions and publish date:
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Complete documentation for cmgnd
Functions, R codes and Examples using the cmgnd R package
Full cmgnd package functions and examples
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