bic.mixture {netresponse} | R Documentation

## BIC mixture

### Description

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

### Usage

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

### Arguments

`x` | samples x features matrix for multivariate analysis, or a vector for univariate 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 leo.lahti@iki.fi

### References

See citation('netresponse')

[Package netresponse version 1.50.0 Index]