Marginal Likelihood Computation via Arrogance Sampling In Bayesian statistics, models are evaluated on the basis of data by comparing their marginal likelihoods conditional on the data. This package helps compute models' marginal likelihoods using samples from the models' posterior parameter distributes (the inputs are similar to those of the harmonic mean estimator). The computation itself is done via "arrogance sampling", a kind of nonparametric (histogram-based) importance sampling. Software Depends: R (>= 2.7.0) Benedict Escoto <favir@emerose.org> Benedict Escoto GPL (>= 2) 2011-01-04 application/tgz http://CRAN.R-project.org/package=margLikArrogance