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Prediction of unknown random quantities, using a statistical model.

6
votes
0answers
I have a model and a graph: n1 = glm(formula = cbind(ml, ad) ~ x1, family = "quasibinomial") plot(x1, ml/(ml+ad)) And I would like to plot a predicted line with a confidence interval. I would like …
asked Oct 23 '12 by Curious
5
votes
nice and simple! No more separation of parameter evaluation and prediction. Everything is done at once. The posterior distrubution of parameters is given by the actual data and propagated to the NA values (as "predictions"). …
answered Jul 3 '12 by Curious
1
vote
Yes, you can. In Bayesian tools, it is very easy to get predictions. In your design matrix, just add new rows, with response variable set to NA. You can see concrete example here.
answered Aug 20 '12 by Curious