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:	0.1.1
Depends:	R (≥ 4.3.0)
Imports:	methods, goftest, sn, TukeyGH77, VGAM
Suggests:	fitdistrplus, ggplot2, mixtools, mixsmsn, scales
Published:	2024-04-04
Author:	Tingting Zhan [aut, cre, cph], Inna Chervoneva [ctb]
Maintainer:	Tingting Zhan <tingtingzhan at gmail.com>
License:	GPL-2
NeedsCompilation:	no
Language:	en-US
Materials:	NEWS
CRAN checks:	fmx results

Documentation:

Reference manual:

fmx.pdf

Downloads:

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

Reverse dependencies:

Reverse imports:

QuantileGH

Linking:

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