bic.mixture.univariate: Univariate BIC mixture

In netresponse: Functional Network Analysis

Description

Latent class analysis based on (infinite) Gaussian mixture model. If the input (dat) is data matrix, a multivariate model is fitted. If the input is a vector or a 1-dimensional matrix, a univariate model is fitted.

Usage

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

Arguments

x	dat vector (for univariate analysis) or a 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
...	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')

netresponse documentation built on Nov. 8, 2020, 5:04 p.m.