Kéry and Schaub’s Bayesian Population Analysis Translated to Stan

[This article was first published on R – Statistical Modeling, Causal Inference, and Social Science, 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.

Hiroki ITÔ (pictured) has done everyone a service in translating to Stan the example models from

You can find the code in our example-models repository on GitHub:

This greatly expands on the ecological models we previously had available and should make a great jumping-off point for people looking to fit models for ecology. Hiroki did a fantastic job translating everything, and as an added bonus, he included the data and the R code to fit the models as part of the repository.

If anyone else has books they’d like to translate and publish as part of our example models suite, let us know. We’re more than happy to help with the modeling issues and provide feedback.

P.S. Ecologists have the best images! Probably because nature’s a big part of their job—Hiroki ITÔ is a forestry researcher.

The post Kéry and Schaub’s Bayesian Population Analysis Translated to Stan appeared first on Statistical Modeling, Causal Inference, and Social Science.

To leave a comment for the author, please follow the link and comment on their blog: R – Statistical Modeling, Causal Inference, and Social Science.

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.

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)