belplauHQQ {dst} | R Documentation |
Compute belief, disbelief, unknown, plausibility, plausibility ratio based on commonality function
Description
Compute belief, disbelief, unknown, plausibility, plausibility ratio based on commonality function
Usage
belplauHQQ(qq, h = NULL)
Arguments
qq |
Commonality function |
h |
= NULL Hypothesis to be evaluated |
Value
z A matrix of M
rows by 5 columns is returned, where M
is the number of hypothesis tested:
Column 1: the degree of Belief
bel
;Column 2: the degree of Disbellief (belief in favor of the contrary hypothesis)
disbel
;Column 3: the degree of Epistemic uncertainty
unc
;Column 4: the degree of Plausibility
plau
;Column 5: the Plausibility ratio
rplau
.
Author(s)
Peiyuan Zhu
Examples
x <- bca(tt = matrix(c(0,1,1,1,1,0,1,1,1),nrow = 3, byrow = TRUE),
m = c(0.2,0.5, 0.3), cnames = c("a", "b", "c"), varnames = "x", idvar = 1)
qq <- commonality(x$tt,x$spec[,2])
belplauHQQ(qq,h=matrix(c(0,1,0), nrow=1, byrow=TRUE))
[Package dst version 1.7.0 Index]