neighbayes.models.priors.SEMLogitGibbsPriors¶

class neighbayes.models.priors.SEMLogitGibbsPriors(beta_mu=0.0, beta_sigma=1000000.0, lam_lower=-0.999, lam_upper=0.999)[source]¶

Prior hyperparameters for the SEM-logit Gibbs sampler.

No σ² parameter (logit link absorbs error scale).

__init__(beta_mu=0.0, beta_sigma=1000000.0, lam_lower=-0.999, lam_upper=0.999)[source]¶

Methods

__init__([beta_mu, beta_sigma, lam_lower, ...])

Attributes

beta_mu
beta_sigma
lam_lower
lam_upper

beta_mu = 0.0[source]¶

beta_sigma = 1000000.0[source]¶

lam_lower = -0.999[source]¶

lam_upper = 0.999[source]¶