Beta-Prime Prior for Model Parameters

Specifies a beta-prime prior on model parameters. The parameterization follows the logistic transformation: \(\sigma(\mu) \sim \textrm{Beta}(\alpha, \beta)\), so \(\mu = \textrm{logit}(Y)\) where \(Y \sim \textrm{Beta}(\alpha, \beta)\).

Usage

beta_prime_prior(alpha = 0.5, beta = 0.5)

Arguments

alpha

Positive numeric. First shape parameter. Default: 0.5.

beta

Positive numeric. Second shape parameter. Default: 0.5.

Value

An object of class "bgms_parameter_prior" with family = "beta-prime".

See also

cauchy_prior, normal_prior, bgm

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

Examples

beta_prime_prior()
#> Parameter prior: Beta-prime(alpha = 0.5, beta = 0.5)
beta_prime_prior(alpha = 1, beta = 1)
#> Parameter prior: Beta-prime(alpha = 1, beta = 1)