Bernoulli Prior for Inclusion Indicators

Specifies a Bernoulli prior for inclusion indicators with a fixed inclusion probability. Used for edge selection in bgm and difference selection in bgmCompare.

Usage

bernoulli_prior(inclusion_probability = 0.5)

Arguments

inclusion_probability

Numeric scalar or symmetric matrix. Prior probability of each edge being included. A scalar applies to all edges; a matrix allows edge-specific probabilities. Must be in (0, 1). Default: 0.5.

Value

An object of class "bgms_indicator_prior" with family = "Bernoulli".

See also

beta_bernoulli_prior, sbm_prior, bgm

Other prior-constructors: beta_bernoulli_prior(), beta_prime_prior(), cauchy_prior(), exponential_prior(), gamma_prior(), normal_prior(), sbm_prior()

Examples

bernoulli_prior()
#> Edge prior: Bernoulli(0.5)
bernoulli_prior(inclusion_probability = 0.25)
#> Edge prior: Bernoulli(0.25)