neighbayes.models.priors.LogitGibbsPriors¶

class neighbayes.models.priors.LogitGibbsPriors(beta_mu=0.0, beta_sigma=1000000.0, rho_lower=-0.999, rho_upper=0.999)[source]¶

Prior hyperparameters for the SAR-logit Gibbs sampler.

All priors are weakly informative by default. There is no σ² parameter (the logit link absorbs the error scale) and no α parameter (binary response is always Bernoulli).

__init__(beta_mu=0.0, beta_sigma=1000000.0, rho_lower=-0.999, rho_upper=0.999)[source]¶

Methods

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

Attributes

beta_mu
beta_sigma
rho_lower
rho_upper

beta_mu = 0.0[source]¶

beta_sigma = 1000000.0[source]¶

rho_lower = -0.999[source]¶

rho_upper = 0.999[source]¶