neighbayes.models.priors.GibbsPriors¶

class neighbayes.models.priors.GibbsPriors(beta_mu=0.0, beta_sigma=1000000.0, sigma2_alpha=2.0, sigma2_beta=1.0, alpha_sigma=10.0, alpha_nu=3.0, rho_lower=-0.999, rho_upper=0.999)[source]¶

Prior hyperparameters for the SAR-NB Gibbs sampler.

All priors are weakly informative by default, matching the GaussianGibbsPriors convention.

__init__(beta_mu=0.0, beta_sigma=1000000.0, sigma2_alpha=2.0, sigma2_beta=1.0, alpha_sigma=10.0, alpha_nu=3.0, rho_lower=-0.999, rho_upper=0.999)[source]¶

Methods

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

Attributes