We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
As mentioned in #1, autocorrelation is already rather advanced and maybe shouldn't be the first example for mixed models.
Using the ISIT data, it would be straightforward to implement a simple mixed effects model with gam( ... s(Station, bs = re) ...).
gam( ... s(Station, bs = re) ...)
The text was updated successfully, but these errors were encountered:
No branches or pull requests
As mentioned in #1, autocorrelation is already rather advanced and maybe shouldn't be the first example for mixed models.
Using the ISIT data, it would be straightforward to implement a simple mixed effects model with
gam( ... s(Station, bs = re) ...)
.The text was updated successfully, but these errors were encountered: