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Lucas Kook's Projects

ainet icon ainet

R package for reproducing simulation studies and analyses in Pawel, S., Kook, L., Reeve, K. (2022). Pitfalls and Potentials in Simulation Studies.

comets icon comets

Algorithm-agnostic significance testing in supervised learning with multimodal data

cvxr icon cvxr

An R modeling language for convex optimization problems.

dare icon dare

R implementation of distributional anchor regression (Kook et al, 2022, doi:10.1007/s11222-022-10097-z).

dive icon dive

Code for "Instrumental Variable Estimation of Distributional Causal Effects"

dtm-usz-stroke icon dtm-usz-stroke

Repository accompanying the preprint arXiv:2206.13302 on "Deep transformation models for predicting functional outcome after acute ischemic stroke".

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

heatmap3 icon heatmap3

heatmap3 is an improved heatmap package. It is completely compatible with the original R function heatmap, and provides some more powerful and convenient features.

ontram-pkg icon ontram-pkg

R package for fitting ordinal neural network transformation models

quantable icon quantable

Streamlines descriptive analysis of quantitative mass spectrometry data.

recipes icon recipes

A repository where I store cooking and baking recipes

srmservice icon srmservice

Provides reports for quantitative mass spectrometry data.

tramicp icon tramicp

Model-based causal feature selection for general response types

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