M_excl: M_excl

Description Usage Arguments Value

Description

Calculates the marginal likelihood of M_excl

Usage

1
M_excl(Q, l, m, n, N = sum(Q), S = sum(Q))

Arguments

Q

Histogram of dataset (l\*m\*n vector)

l

|Z|

m

|X|

n

|Y|

N

Number of Repetitions for Nested Sampling

S

Number of Starting Points for Nested Sampling

Value

The probability that the observations where created from a model which violates the exclusion criterion but not the as-if-randomness criterion


npsr documentation built on May 2, 2019, 9:43 a.m.