investment: investment Implement investment algorithm. In the Investment...

In rodrigowang/truthfinder: Implements truth discovery (truth finding) algorithms in R

Description

investment Implement investment algorithm. In the Investment algorithm, sources “invest” their trustworthiness uniformly among their claims. The belief in each claim is a non-linear function of g, normally 1.2, and the source’s trustworthiness is updated as the sum of the beliefs in their claims, weighted by the proportion of trust invested by all sources in the claim. Since claims with higher-trust sources get higher belief, these claims become relatively more believed and their sources become more trusted.

Usage

investment(data, limit = 0.001, g = 1.2, max_iter = 20)

Arguments

data	data.table
limit	numeric
g	numeric
max_iter	numeric

Value

list

Examples

data = data.frame(source = c('source1','source1','source2','source2','source3','source3','source4',
'source4','source4'),
object = c('x','y','y','z','x','z','x','y','z'),
fact = c('4','7','7','5','3','5','3', '6','8'))
investment(data)

rodrigowang/truthfinder documentation built on Dec. 22, 2021, 5:15 p.m.