neighbayes.models.priors.ZINBGibbsPriors¶

class neighbayes.models.priors.ZINBGibbsPriors(gamma_mu=0.0, gamma_sigma=1000000.0, lam_lower=-0.999, lam_upper=0.999, beta_mu=0.0, beta_sigma=10.0, rho_lower=-0.999, rho_upper=0.999, alpha_sigma=2.5, alpha_nu=3.0)[source]¶

Prior hyperparameters for the ZINB Gibbs sampler.

No σ² parameter in either equation: the logit link absorbs the error scale, and the reduced-form NB has no latent noise term.

__init__(gamma_mu=0.0, gamma_sigma=1000000.0, lam_lower=-0.999, lam_upper=0.999, beta_mu=0.0, beta_sigma=10.0, rho_lower=-0.999, rho_upper=0.999, alpha_sigma=2.5, alpha_nu=3.0)[source]¶

Methods

`__init__`([gamma_mu, gamma_sigma, lam_lower, ...])

Attributes