Dr. David Rügamer

Dr. David Rügamer

I'm currently interim professor for Data Science (LMU) / Computational Statistics (RWTH). My research is at the intersection of statistics, machine and deep learning.

Publications

I try to keep publications up to date on my Google Scholar profile.

Software (R-packages)

  • deepregression Semi-Strutured Deep Distributional Regression on CRAN and Github .
  • selfmade SELective inference For Mixed and ADditive model Estimators on CRAN and Github
  • FDboost Boosting Functional Regression Models on CRAN and Github
  • cAIC4 Conditional Akaike Information Criterion for ‘lme4’ on CRAN and Github
  • iboost Inference for Model-based Boosting on Github
  • coinflibs Conditional Inference after Likelihood-based Selection on Github
  • effortless efficient operations on row-wise tensor product linked evaluations with special structures on Github