This function creates an object which describes constraints over the model parameters.
Usage
getModelStructure(mean = "D", between = "D", within = "D", cov = "D")
Arguments
mean
mean="E" forces equality of the means between the components,
between
between="E" forces equality of the covariance matrices among the components,
within
within="E" forces equality of variances within each covariance matrix i to some constant vi and equality of covariances to some constant wi
cov
cov="0" forces equality of covariances within each covariance matrix i to "0",
Value
List of four elements specifying the constraints on 1) relations between the component means, 2) relations between the covariance matrices of the model components, 3) relations within each covariance matrix and 4) the covariances within each matrix. By default, the function returns an unconstrained structure.
References
Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn (2012), The R Package bgmm: Mixture Modeling with Uncertain Knowledge, Journal of Statistical Software.