fmx: Finite Mixture Parametrization (original) (raw)

A parametrization framework for finite mixture distribution using S4 objects. Density, cumulative density, quantile and simulation functions are defined. Currently normal, Tukey g-&-h, skew-normal and skew-t distributions are well tested. The gamma, negative binomial distributions are being tested.

Version: 0.1.2
Depends: R (≥ 4.4.0)
Imports: methods, goftest, sn, VGAM, param2moment, TukeyGH77
Suggests: fitdistrplus, ggplot2, mixtools, mixsmsn, scales
Published: 2024-04-30
DOI: 10.32614/CRAN.package.fmx
Author: Tingting Zhan ORCID iD [aut, cre, cph], Inna Chervoneva ORCID iD [ctb, cph]
Maintainer: Tingting Zhan
License: GPL-2
NeedsCompilation: no
Language: en-US
Materials: NEWS
In views: Distributions
CRAN checks: fmx results

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