bic.mixture.univariate {netresponse} | R Documentation

## Univariate BIC mixture

### 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 leo.lahti@iki.fi

### References

See citation('netresponse')

[Package netresponse version 1.50.0 Index]