Version 0.0.0.9000
DeepGLMM is a flexible model that use Deep Feedforward Neuron Network as the basis function for Generalized Linear Mixed Model. DeepGLMM is designed to work with panel data.
For more information about DeepGLMM, please refer to the paper: Minh-Ngoc Tran,Nghia Nguyen, David J. Nott and Robert Kohn (2018) Bayesian Deep Net GLM and GLMM https://arxiv.org/abs/1805.10157
Nghia Nguyen (nghia.nguyen@sydney.edu.au)
Minh-Ngoc Tran (minh-ngoc.tran@sydney.edu.au)
To use the Toolbox, add the folder called "deepGLM" (with Subfolders) to the MATLAB path.
The toolbox contains the following folders:
- Data: some datasets used in the examples.
- Examples: examples of all the functions included in the toolbox.
- Documents: documentations for the functions in deepGLM toolbox
- deepGLM: all the functions of the toolbox all here. This is the folder you must add to the MATLAB path.
Please, cite the toolbox as:
Tran, M.-N., Nguyen, N., Kohn, R., and Nott, D. (2018) Bayesian Deep Net GLM and GLMM. arXiv preprint arXiv:1805.10157