I have to make a simulation testing the Bayesian Robustness of a normal linear model and comparing the regression results obtained using two different g-priors. I tried with the function > blinreg() in the LearnBayes package from J.Albert but it doesn't help me because it uses a standard flat nonninformative prior, while I need to make changes to the structure of the prior (in particular to the prior variance) to perform my simulation. Does anybody has any suggestion or knows any R-function that would help? -- View this message in context: http://www.nabble.com/A-simple-analysis-of-Bayesian-Robustness-with-R-tp19197602p19197602.html Sent from the R help mailing list archive at Nabble.com.