An Integrated Shiny App for a Course on Repeated Measurements Analysis

October 16, 2015
By

[This article was first published on iProgn: Interactive Prediction Tools based on Joint Models, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

I will be teaching a course on statistical regression models for repeated measurements data, and I thought of creating a shiny app to let students run the code used in the course and examine the output in real time.

The app is still in development mode (Chapter 5 is still missing), but you may give it a try, and let me know of any feedback/comments you may have.

More information on installation requirements and how to invoke is available on my GitHub page.

To leave a comment for the author, please follow the link and comment on their blog: iProgn: Interactive Prediction Tools based on Joint Models.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.



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.

Search R-bloggers

Sponsors

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)