Ordered logistic model with varying intercepts (random effects)

March 2, 2008

(This article was first published on Yu-Sung Su's Blog, and kindly contributed to R-bloggers)

I coauthor a paper with Ozan, a friend who I know when I was TAing Bayesian Methods in ICPSR. The paper tries to see if the 9/11 has any effect on American’s attitudes on Muslim. We have dataset from different years: 2 from pre-9/11 periods and 2 from post-9/11 periods. The outcome variable y is ordered categorical in that:1: very unfavorable; 2: mostly unfavorable; 3: mostly favorable; 4: very

To leave a comment for the author, please follow the link and comment on their blog: Yu-Sung Su's Blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)