tag:blogger.com,1999:blog-3240271627873788873.post2549283705228891363..comments2024-03-26T06:46:11.752-04:00Comments on Doing Bayesian Data Analysis: Bayesian multiple linear regression with interaction: ErratumJohn K. Kruschkehttp://www.blogger.com/profile/17323153789716653784noreply@blogger.comBlogger2125tag:blogger.com,1999:blog-3240271627873788873.post-86329313218005356292017-05-06T01:56:33.733-04:002017-05-06T01:56:33.733-04:00I need command for bayesian linear multiple model ...I need command for bayesian linear multiple model estimation with (uniform or jeffery) prior in R studio please any one give me help...<br />Anonymoushttps://www.blogger.com/profile/05046460907071021781noreply@blogger.comtag:blogger.com,1999:blog-3240271627873788873.post-82373308765091712602016-04-07T00:22:30.495-04:002016-04-07T00:22:30.495-04:00Lets say that the regression model is hierarchical...Lets say that the regression model is hierarchical with random slopes and intercepts for each subject. Now we center the predictor to speed the MCMC. You show how to back transform the random slopes. Great. But what if we also wanted to back transfers the intercept variances? This requires (I think) a bivariate normal model for subject intercept and slope. We need the covariance to back transform. If I am right it would be good to point this out in the next version of your nice book.<br /><br />Dave leblondAnonymousnoreply@blogger.com