imputeQQ: Impute commonality values based on a closure matrix

In RAPLER/dst-1: Using the Theory of Belief Functions

Impute commonality values based on a closure matrix

Description

Impute commonality values based on a closure matrix

Usage

imputeQQ(tty, tt1, tt2, q1, q2, tree_type = NULL)

Arguments

tty	A closure matrix
tt1	A q1 support matrix
tt2	A q2 support matrix
q1	A named vector of commonality values
q2	A named vector of commonality values
tree_type	tree_type to use M trees ("multiple") or 1 tree ("single"). Default = NULL

Details

Impute commonality values based on a closure matrix

Value

x a list with two elements

• q1 new commonality vector

• q2 new commonality vector

Author(s)

Peiyuan Zhu

Examples

tt1 <- matrix(c(1,1,0,1,1,1), byrow=TRUE, nrow=2, dimnames=list(NULL,c("a","b","c")))
tt2 <- matrix(c(0,1,1,1,1,1), byrow=TRUE, nrow=2, dimnames=list(NULL,c("a","b","c")))
tty <- matrix(c(0,1,1,1,1,0,1,1,1,0,1,0), byrow=TRUE, nrow=4, dimnames=list(NULL,c("a","b","c")))
q1 <- c(1,0.9)
q2 <- c(1,0.8)
names(q1) <- nameRows(tt1)
names(q2) <- nameRows(tt2)
x <- imputeQQ(tty,tt1,tt2,q1,q2, tree_type = "single")
x$q1
x$q2

RAPLER/dst-1 documentation built on June 2, 2025, 9:22 a.m.