| REBMIX.boot-class {rebmix} | R Documentation |
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@summaryto be bootstrapped. The default value is1. 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 alsosample. The default value isTRUE. prob:-
a vector of length
ncontaining probability weights, see alsosample. The default value isnumeric(). c:-
a vector containing numbers of components for
Bbootstrap 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 Bbootstrap 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.landtheta3.lfor\leq Bbootstrap datasets. Theta.se:-
a list of vectors containing standard errors of component parameters
theta1.l,theta2.landtheta3.l. Theta.cv:-
a list of vectors containing coefficients of variation of component parameters
theta1.l,theta2.landtheta3.l.
Author(s)
Marko Nagode