neighbayes.models.priors.SARProbitPriors¶

class neighbayes.models.priors.SARProbitPriors(rho_lower=-0.95, rho_upper=0.95, beta_mu=0.0, beta_sigma=10.0, sigma_a_sigma=2.0)[source]¶

Priors for neighbayes.models.SARProbit.

Differs from SARPriors: there is no sigma parameter (the probit link absorbs the noise scale) and the regional random-effect variance sigma_a has its own half-normal scale.

__init__(rho_lower=-0.95, rho_upper=0.95, beta_mu=0.0, beta_sigma=10.0, sigma_a_sigma=2.0)[source]¶

Methods

`__init__`([rho_lower, rho_upper, beta_mu, ...])

Attributes

`beta_mu`
`beta_sigma`
`rho_lower`
`rho_upper`
`sigma_a_sigma`

beta_mu = 0.0[source]¶

beta_sigma = 10.0[source]¶

rho_lower = -0.95[source]¶

rho_upper = 0.95[source]¶

sigma_a_sigma = 2.0[source]¶