Obtain posterior model probabilities
Obtain posterior model probabilities after running Bayesian model selection
postProb(object, nmax, method='norm')
Object of class msfit, e.g. as returned by
Maximum number of models to report (defaults to no max)
For 'norm' probabilities are obtained by renormalizing the stored integrated likelihoods, for 'exact' they are given by the proportion of MCMC visits to each model. 'norm' has less variability but can be biased if the chain has not converged.
data.frame with posterior model probabilities in column pp.
Column modelid indicates the indexes of the selected covariates (empty
for the null model with no covariates).
modelSelection to perform model selection
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