Description Author(s) See Also
Tools for fitting Gaussian linear mixed-effects models where both the mean and variance terms are random. Marginal likelihoods are compiled in C++ with automatic differentiation using the 'TMB' library, such that efficient gradient-based optimization algorithms can be readily employed. The package provides C++ entry points for users to extend the basic model with minimal effort.
Maintainer: Martin Lysy mlysy@uwaterloo.ca
Useful links:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.