REBMIX.boot-class: Class '"REBMIX.boot"'

In rebmix: Finite Mixture Modeling, Clustering & Classification

Class "REBMIX.boot"

Description

Object of class REBMIX.boot.

Objects from the Class

Objects can be created by calls of the form new("REBMIX.boot", ...). Accessor methods for the slots are a.rseed(x = NULL), a.pos(x = NULL), a.Bootstrap(x = NULL), a.B(x = NULL), a.n(x = NULL), a.replace(x = NULL), a.prob(x = NULL), a.c(x = NULL), a.c.se(x = NULL), a.c.cv(x = NULL), a.c.mode(x = NULL), a.c.prob(x = NULL), a.w(x = NULL), a.w.se(x = NULL), a.w.cv(x = NULL), a.Theta(x = NULL), a.Theta.se(x = NULL) and a.Theta.cv(x = NULL), where x stands for an object of class REBMIX.boot.

Slots

x:

an object of class REBMIX.

rseed:

set the random seed to any negative integer value to initialize the sequence. The first bootstrap dataset corresponds to it. For each next bootstrap dataset the random seed is decremented r_{\mathrm{seed}} = r_{\mathrm{seed}} - 1. The default value is -1.

pos:

a desired row number in x@summary to be bootstrapped. The default value is 1.

Bootstrap:

a character giving the bootstrap type. One of default "parametric" or "nonparametric".

B:

number of bootstrap datasets. The default value is 100.

n:

number of observations. The default value is numeric().

replace:

logical. The sampling is with replacement if TRUE, see also sample. The default value is TRUE.

prob:

a vector of length n containing probability weights, see also sample. The default value is numeric().

c:

a vector containing numbers of components for B bootstrap datasets.

c.se:

standard error of numbers of components c.

c.cv:

coefficient of variation of numbers of components c.

c.mode:

mode of numbers of components c.

c.prob:

probability of mode c.mode.

w:

a matrix containing component weights for \leq B bootstrap datasets.

w.se:

a vector containing standard errors of component weights w.

w.cv:

a vector containing coefficients of variation of component weights w.

Theta:

a list of matrices containing component parameters theta1.l, theta2.l and theta3.l for \leq B bootstrap datasets.

Theta.se:

a list of vectors containing standard errors of component parameters theta1.l, theta2.l and theta3.l.

Theta.cv:

a list of vectors containing coefficients of variation of component parameters theta1.l, theta2.l and theta3.l.

Author(s)

Marko Nagode

rebmix documentation built on Feb. 9, 2024, 3:01 p.m.