FLXMCdist1: FlexMix Clustering of Univariate Distributions
Description
These are drivers for flexmix implementing model-based
clustering of univariate data using different distributions for the
component-specific models.
Usage
FLXMCdist1(formula = . ~ ., dist, ...)
Value
FLXMCdist1 returns an object of class FLXMC.
Arguments
formula
A formula which is interpreted relative to the formula
specified in the call to flexmix using
update.formula. Only the left-hand side (response) of
the formula is used. Default is to use the original
flexmix model
formula.
dist
Character string indicating the component-specific
univariate distribution.
...
Arguments for the specific model drivers.
Author
Friedrich Leisch and Bettina Gruen
Details
Currently drivers for the following distributions are available:
Lognormal ("lnorm")
inverse Gaussian ("invGauss" using dinvGauss)
gamma ("gamma")
exponential ("exp")
Weibull ("weibull")
Burr ("burr" using dburr)
Inverse Burr ("invburr" using dinvburr)
References
Tatjana Miljkovic and Bettina Gruen. Modeling loss data using
mixtures of distributions. Insurance: Mathematics and
Economics, 70, 387-396, 2016.
doi:10.1016/j.insmatheco.2016.06.019