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1. DMLMM DMLMM Public

   Code for the DMLMM as introduced in the paper "Deep mixture of linear mixed models for complex longitudinal data" by Lucas Kock, Nadja Klein and David J. Nott.

   Python 1 1

2. GLOSS-VA GLOSS-VA Public

   Code for the paper "Variational inference for hierarchical models with conditional scale and skewness corrections" by Lucas Kock, Linda S. L. Tan, Prateek Bansal and David J. Nott

   Python 1

3. multGAMLSS multGAMLSS Public

   Code for the paper "Truly Multivariate Structured Additive Distributional Regression" by Lucas Kock and Nadja Klein

   Python 1

4. dagstat25-distreg dagstat25-distreg Public

   Forked from kleinlab-statml/dagstat25-distreg

   Material for the DagStat Tutorial "Distributional Regression – Models and Applications" by Nadja Klein and Lucas Kock

   R

5. GMPVI GMPVI Public

   Code for the paper "Predictive variational inference for flexible regression models" by Lucas Kock, Scott A. Sisson, G. S. Rodrigues, and David J. Nott

   Python

6. CopulaSMI CopulaSMI Public

   Code for the paper "Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals" by Lucas Kock, David T. Frazier, Michael S. Smith, and David J. Nott

   Python