Le mardi 23 septembre 2014 à 17:45 -0700, Jason Knight a écrit : > Donald, > > > > I would enjoy seeing your code once you release it. I'm doing research > with Bayesian bioinformatics models using MCMC. > > > You can place all your MCMC samples in a DataFrame and then call > describe on it to get a very similar output to what you described. > > > You can also write your own inspired from the definition of the > describe function. Or instead of using rpad to get the spacing right, > you can use @printf or @sprintf instead. You can also take inspiration from coeftable from StatsBase. One could even imagine extending it to show either p-values (as is done currently) or confidence intervals (as you apparently need), since different models and/or different users are going to want to get either or both.
Regards
