Hi I didn't notice that I haven't cc the R-help so, unknowingly, I replied back to you only. That's understandable and I think I may consult for the wrong type of help. However, I'll remain in the list in case if I get stuck in any simple R problem again.
Best regards Sanna Soomro On Fri, 6 Mar 2020, 15:45 Bert Gunter, <bgunter.4...@gmail.com> wrote: > Unless there is a good reason not to, always cc the list in your > responses. I am not your free private consultant. > > Beause you use your own function, your result is not reproducible, so that > it is unlikely you can get useful help. > > Bert Gunter > > "The trouble with having an open mind is that people keep coming along and > sticking things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > > On Fri, Mar 6, 2020 at 6:11 AM Sanna Soomro <s.soomr...@gmail.com> wrote: > >> Hi >> >> >> >> I apologize for the late response – I’ve been busy. >> >> I have attached my R code in the email but I don’t know if it gone >> through. >> >> The gibb_lasso function is what I created myself. >> >> The packages I am using are mvtnorm, GIGrvg, tmvtnorm, RGeode and >> truncnorm. >> >> >> >> Best regards >> >> Sanna >> >> >> >> *From: *Bert Gunter <bgunter.4...@gmail.com> >> *Date: *Thursday, 5 March 2020 at 15:40 >> *To: *Sanna Soomro <s.soomr...@gmail.com> >> *Subject: *Re: [R] rgamma function produces NaN values >> >> >> >> What package are you using? -- this is requested by the posting guide. >> >> >> Bert Gunter >> >> "The trouble with having an open mind is that people keep coming along >> and sticking things into it." >> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) >> >> >> >> >> >> On Thu, Mar 5, 2020 at 12:50 AM Sanna Soomro <s.soomr...@gmail.com> >> wrote: >> >> Hi, >> >> In my code, I want to sample from the posterior distribution to get >> estimates for each parameter via the Bayesian approach. My model has >> spatial coefficient and lasso penalty. >> >> When I run this line >> >> gibbs_lasso(y = Y, x= X, W=W.rook, tau = 0.5, M=2) >> >> It works, however, when I changed M from 2 to 5, I get the following >> error: >> >> Error in rgig(1, 0.5, (SIGMA[m, ]/theta2) * ((y[ik] - crossprod(x[ik, : >> invalid parameters for GIG distribution: lambda=0.5, chi=nan, psi=nan >> In addition: Warning message: >> In rgamma(1, shape = 1.5 * n + a0, rate = SIGMAgamma + b0) : NAs produced >> >> It makes sense that rgig cannot accept NaN values of sigma parameter in >> its >> computation. But why does rgamma produces NaN value for sigma? The gamma >> distribution require both shape and scale parameters to be positive and my >> R computations for both should always be positive then sigma can be >> sampled >> easily. So, what went wrong in my code? >> >> Best regards >> Sanna >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> >> [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
