Name: Lucas Kook
Type: User
Company: Vienna University of Economics and Business
Bio: Assistant professor of statistics working on causal inference and machine learning.
Twitter: Kook_Lucas
Location: Vienna, Austria
Blog: lucaskook.github.io
Lucas Kook's Projects
R package for reproducing simulation studies and analyses in Pawel, S., Kook, L., Reeve, K. (2022). Pitfalls and Potentials in Simulation Studies.
Case study for the deeptrafo package
Algorithm-agnostic significance testing in supervised learning with multimodal data
An R modeling language for convex optimization problems.
R implementation of distributional anchor regression (Kook et al, 2022, doi:10.1007/s11222-022-10097-z).
Repository accompanying arXiv:2101.08224 Kook et al. (2021) Distributional Anchor Regression
Code for "Instrumental Variable Estimation of Distributional Causal Effects"
Repository accompanying the preprint arXiv:2206.13302 on "Deep transformation models for predicting functional outcome after acute ischemic stroke".
A toolkit for developing and comparing reinforcement learning algorithms.
heatmap3 is an improved heatmap package. It is completely compatible with the original R function heatmap, and provides some more powerful and convenient features.
Repository accompanying arXiv:2205.12729 on interpretable deep ensembles with deep transformation models.
Academic personal website
Repository accompanying arXiv:2010.08376
R package for fitting ordinal neural network transformation models
Streamlines descriptive analysis of quantitative mass spectrometry data.
A repository where I store cooking and baking recipes
Provides reports for quantitative mass spectrometry data.
Model-based causal feature selection for general response types