rebmix (version 2.12.0)

RNGMIX.Theta-class: Class "RNGMIX.Theta"

Description

Object of class RNGMIX.Theta.

Objects from the Class

Objects can be created by calls of the form new("RNGMIX.Theta", ...). Accessor methods for the slots are a.c(x = NULL), a.d(x = NULL), a.pdf(x = NULL) and a.Theta(x = NULL), where x stands for an object of class RNGMIX.Theta. Setter methods a.theta1(x = NULL, l = numeric()) and a.theta2(x = NULL, l = numeric()) are provided to write to Theta slot, where \(l = 1, \ldots, c\).

Slots

c:

number of components \(c > 0\). The default value is 1.

d:

number of dimensions.

pdf:

a character vector of length \(d\) containing continuous or discrete parametric family types. One of "normal", "lognormal", "Weibull", "gamma", "Gumbel", "binomial", "Poisson", "Dirac" or "vonMises".

Theta:

a list containing \(c\) parametric family types pdfl. One of "normal", "lognormal", "Weibull", "gamma", "Gumbel", "binomial", "Poisson", "Dirac" or circular "vonMises" defined for \(0 \leq y_{i} \leq 2 \pi\). Component parameters theta1.l follow the parametric family types. One of \(\mu_{il}\) for normal, lognormal, Gumbel 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, gamma and Gumbel distributions, \(p_{il}\) for binomial distribution, \(\kappa_{il}\) for von Mises distribution and "NA" otherwise.

Examples

# NOT RUN {
Theta <- new("RNGMIX.Theta", c = 2, pdf = c("normal", "Weibull"))  

a.theta1(Theta, l = 1) <- c(2, 10)
a.theta2(Theta, l = 1) <- c(0.5, 2.3)
a.theta1(Theta, l = 2) <- c(20, 50)
a.theta2(Theta, l = 2) <- c(3, 4.2)

Theta

Theta <- new("RNGMVNORM.Theta", c = 2, d = 3)

a.theta1(Theta, l = 1) <- c(2, 10, -20)
a.theta1(Theta, l = 2) <- c(-2.4, -15.1, 30)

Theta
# }