fmx-package: Finite Mixture Parametrization
In fmx: Finite Mixture Parametrization
fmx-package R Documentation
Finite Mixture Parametrization
Description
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.
Author(s)
Maintainer: Tingting Zhan tingtingzhan@gmail.com (ORCID)
Other contributors:
Inna Chervoneva Inna.Chervoneva@jefferson.edu (ORCID) [contributor]
fmx documentation built on April 3, 2025, 7:09 p.m.
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| fmx-package | R Documentation |
Finite Mixture Parametrization
Description
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.
Author(s)
Maintainer: Tingting Zhan tingtingzhan@gmail.com (ORCID)
Other contributors:
Inna Chervoneva Inna.Chervoneva@jefferson.edu (ORCID) [contributor]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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