bic.mixture.univariate: 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)
References
See citation("netresponse")