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
|
| 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 |
| Reference manual: | cmgnd.html , cmgnd.pdf |
| Package source: | cmgnd_0.1.1.tar.gz |
| Windows binaries: | r-devel: cmgnd_0.1.1.zip, r-release: cmgnd_0.1.1.zip, r-oldrel: cmgnd_0.1.1.zip |
| macOS binaries: | r-release (arm64): cmgnd_0.1.1.tgz, r-oldrel (arm64): cmgnd_0.1.1.tgz, r-release (x86_64): cmgnd_0.1.1.tgz, r-oldrel (x86_64): cmgnd_0.1.1.tgz |
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