bic.mixture.multivariate: Multivariate BIC mixture

In antagomir/netresponse: Functional Network Analysis

Multivariate BIC mixture

Description

Latent class analysis based on (infinite) Gaussian mixture model. If the input (dat) is data matrix, a multivariate model is fitted.

Usage

bic.mixture.multivariate(x, max.modes, bic.threshold = 0, min.modes = 1, ...)

Arguments

x	matrix (for multivariate analysis)
max.modes	Maximum number of modes to be checked for mixture model selection
bic.threshold	BIC threshold which needs to be exceeded before a new mode is added to the mixture.
min.modes	Minimum number of modes to be checked for mixture model selection
...	Further optional arguments to be passed

Value

Fitted latent class model (parameters and free energy)

Author(s)

Contact: Leo Lahti [e-mail]

References

See citation('netresponse')

antagomir/netresponse documentation built on March 30, 2023, 7:24 a.m.