computeIMEC: Computes the Ising model of explanatory coherence.

In MaxMaier42/IMEC: Ising Model of Explanatory Coherence

Computes the Ising model of explanatory coherence.

Description

Computes IMEC based on previously specified explanatory relations.

Usage

computeIMEC(
  matrix,
  evidence,
  phenomena,
  theory1,
  theory2 = character(),
  analytic = TRUE,
  analogy = numeric()
)

Arguments

matrix	matrix of explanatory relations.
evidence	vector of evidence for phenomena.
phenomena	vector of phenomena should be the same length as evidence.
theory1	vector of propositions in theory1.
theory2	vector of propositions in theory2.
analytic	whether the result should be calculated analytically or (for large networks) estimated using Metropolis-Hastings algorithm enhanced with Coupling from the past.
analogy	this argument is only for purposes of adding analogy in the future and should currently not be used.

Value

returns an IMEC object which contains the explanatory coherence of the propositions, the explanatory relations, the evidence, and the phenomena

Examples

# simple example comparing two hypotheses one of them with more explanatory breadth##
T1 <- c("H1", "H2")
Phenomena <- c("E1", "E2")
Thresholds <- c(2,2)
explanations <- initializeNetwork(Phenomena, T1)
explanations <- explain("H1", "E1", explanations)
explanations <- explain("H1", "E2", explanations)
explanations <- explain("H2", "E2", explanations)
explanations <- contradict("H1", "H2", explanations)
coherence <- computeIMEC(explanations, Thresholds, Phenomena, T1)
summary(coherence)
plot(coherence)

MaxMaier42/IMEC documentation built on Oct. 30, 2022, 2:28 a.m.