mFromMarginal: Construct m vector of a bca from marginal probabilities

In dst: Using the Theory of Belief Functions

Construct m vector of a bca from marginal probabilities

Description

Construct m vector of a bca from marginal probabilities

Usage

mFromMarginal(
  marg_probs,
  a = 1e-05,
  simple = FALSE,
  min_prob = 0,
  max_prob = 2
)

Arguments

marg_probs	vector of marginal probabilities
a	=1e-5 probability that the sample is reliable
simple	=TRUE whether to use simple support function
min_prob	=0 lower bound on marginal probabilities
max_prob	=2 upper bound on marginal probabilities

Value

vector of probability masses obtained from uniformly sampling the cut

Author(s)

Peiyuan Zhu

Examples

x <- c(2,2,1.5,1.2,1,0,0)
mFromMarginal(x, simple=FALSE)

dst documentation built on Sept. 11, 2024, 7:05 p.m.