"RNGMIX"Object of class RNGMIX.
Objects can be created by calls of the form new("RNGMIX", ...).
Dataset.name:a character vector containing list names of data frames of size \(n \times d\) that d-dimensional datasets are written in.
rseed:set the random seed to any negative integer value to initialize the sequence. The first file in Dataset.name corresponds to it.
For each next file the random seed is decremented \(r_{\mathrm{seed}} = r_{\mathrm{seed}} - 1\). The default value is -1.
n:a vector containing numbers of observations in classes \(n_{l}\), where number of observations \(n = \sum_{l = 1}^{c} n_{l}\).
Theta:a list containing \(c\) parametric family types pdfl. One of "normal", "lognormal", "Weibull", "gamma", "binomial", "Poisson", "Dirac" or circular "vonMises" defined for \(0 \leq y_{i} \leq 2 \pi\).
Component parameters theta1.l follow the parametric family types. One of \(\mu_{il}\) for normal, lognormal and von Mises distributions and \(\theta_{il}\) for Weibull, gamma, binomial, Poisson and Dirac distributions.
Component parameters theta2.l follow theta1.l. One of \(\sigma_{il}\) for normal and lognormal distributions, \(\beta_{il}\) for Weibull and gamma distributions, \(p_{il}\) for binomial distribution and \(\kappa_{il}\) for von Mises distribution.
Dataset:a list of data frames of size \(n \times d\) containing d-dimensional datasets. Each of the \(d\) columns represents one random variable. Number of observations \(n\) equals the number of rows in the datasets.
Zt:a factor of true cluster membership.
w:a vector of length \(c\) containing component weights \(w_{l}\) summing to 1.
Variables:a character vector containing types of variables. One of "continuous" or "discrete".
ymin:a vector of length \(d\) containing minimum observations.
ymax:a vector of length \(d\) containing maximum observations.