bernoulli

Bernoulli

a scalar or vector of prior inclusion
    probabilities. If a scalar, the values is replicated for all
    variables ans a 1 is added for the intercept. BAS checs to see if
    the length is equal to the dimension of the parameter vector for the
  full mo

probs

Creates an object representing the prior distribution on
  models for BAS.

Package for Bayesian Model Averaging in linear models
        using stochastic or deterministic sampling without replacement
        from posterior distributions. Prior distributions on
        coefficients are from Zellner's g-prior or mixtures of g-priors
        corresponding to the Zellner-Siow Cauchy Priors or the Liang et
        al hyper-g priors (JASA 2008). Other model selection criterian
        include AIC and BIC. Sampling probabilities may be updated
        based on the sampled models. Allows uniform or beta-binomial
        prior distributions on models.

Bernoulli: Independent Bernoulli Prior Distribution for Models

Description

Usage

Arguments

Value

Details

See Also

Examples