neighbayes.models.priors.SARTobitPriors¶

class neighbayes.models.priors.SARTobitPriors(beta_mu=None, beta_sigma=None, sigma2_alpha=2.0, sigma2_beta=None, sigma_sigma=10.0, nu=4.0, rho_lower=-1.0, rho_upper=1.0, censor_sigma=10.0)[source]¶

Priors for neighbayes.models.SARTobit.

Adds censor_sigma: scale of the half-normal prior on the censored latent-variable gap.

__init__(beta_mu=None, beta_sigma=None, sigma2_alpha=2.0, sigma2_beta=None, sigma_sigma=10.0, nu=4.0, rho_lower=-1.0, rho_upper=1.0, censor_sigma=10.0)[source]¶

Methods

__init__([beta_mu, beta_sigma, ...])

Attributes

beta_mu
beta_sigma
censor_sigma
nu
rho_lower
rho_upper
sigma2_alpha
sigma2_beta
sigma_sigma

beta_mu = None[source]¶

beta_sigma = None[source]¶

censor_sigma = 10.0[source]¶

nu = 4.0[source]¶

rho_lower = -1.0[source]¶

rho_upper = 1.0[source]¶

sigma2_alpha = 2.0[source]¶

sigma2_beta = None[source]¶

sigma_sigma = 10.0[source]¶