It's exactely what I was looking for.
Thanks a lot
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<-solve(V)
+ tx<-t(X1_10)
+ prpar<-solve(Vmeno1+xx)
+ snpar<-tx%*%y
+ bbayes<-prpar%*%snpar
+ }
it oly gives me the vector calculated with the last value of the sequence,
in this case 100.
Could you please suggest how to print all the 100 vectors calculated for i
in 1:100.
Thank you in
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
nonn
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