Am 28.05.2010 15:29, schrieb Christopher David Desjardins:
Hi, I am trying to recreate the right graph on page 524 of Gelman's 2006 paper "Prior distributions for variance parameters in hierarchical models" in Bayesian Analysis, 3, 515-533. I am only interested, however, in recreating the portion of the graph for the overlain prior density for the half-Cauchy with scale 25 and not the posterior distribution. However, when I try: curve(dcauchy, from=0, to=200, location=0, scale=25)
This won't pass location and scale to dcauchy. You need something along the lines dcauchy0_25 <- function(x) dcauchy(x, location=0, scale=25) curve(dcauchy0_25, from=0, to=200) Uwe Ligges
the probabilities for the half-Cauchy values seem to approach zero almost immediately after 0 whereas in Gelman 2006 the tail appears much fatter giving non-zero probabilities out to 100. I am interested in replicating this because I want to use half-Cauchy priors and want to play around with the scale values but I want to know what my prior looks like before using it in models. Please cc me as I am digest subscriber. Thanks! Chris ______________________________________________ R-help@r-project.org mailing list 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.
______________________________________________ R-help@r-project.org mailing list 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.
