RNGMIX-class: Class '"RNGMIX"'

Description Objects from the Class Slots Author(s)

Description

Object of class RNGMIX.

Objects from the Class

Objects can be created by calls of the form new("RNGMIX", ...). Accessor methods for the slots are a.Dataset.name(x = NULL), a.rseed(x = NULL), a.n(x = NULL), a.Theta(x = NULL), a.Dataset(x = NULL, pos = 0), a.Zt(x = NULL), a.w(x = NULL), a.Variables(x = NULL), a.ymin(x = NULL) and a.ymax(x = NULL), where x and pos stand for an object of class RNGMIX and a desired slot item, respectively.

Slots

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 = ∑_{l = 1}^{c} n_{l}.

Theta:

a list containing c parametric family types pdfl. One of "normal", "lognormal", "Weibull", "gamma", "Gumbel", "binomial", "Poisson", "Dirac" or circular "vonMises" defined for 0 ≤q y_{i} ≤q 2 π. Component parameters theta1.l follow the parametric family types. One of μ_{il} for normal, lognormal, Gumbel and von Mises distributions and θ_{il} for Weibull, gamma, binomial, Poisson and Dirac distributions. Component parameters theta2.l follow theta1.l. One of σ_{il} for normal and lognormal distributions, β_{il} for Weibull, gamma and Gumbel distributions, p_{il} for binomial distribution, κ_{il} for von Mises distribution and "NA" otherwise.

Dataset:

a list of length n_{\mathrm{D}} of data frames of size n \times d containing d-dimensional datasets. Each of the d columns represents one random variable. Numbers of observations n equal 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.

Author(s)

Marko Nagode


rebmix documentation built on July 28, 2021, 5:08 p.m.