fmx: Finite Mixture Parametrization

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 <tingtingzhan at>
License: GPL-2
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: fmx results


Reference manual: fmx.pdf


Package source: fmx_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): fmx_0.1.2.tgz, r-oldrel (arm64): fmx_0.1.1.tgz, r-release (x86_64): fmx_0.1.2.tgz, r-oldrel (x86_64): fmx_0.1.1.tgz
Old sources: fmx archive

Reverse dependencies:

Reverse imports: QuantileGH


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