This repository includes the R code used for the project "Investigating robust partitional clustering methods", written by Efthymios Costa. The project is supervised by Dr. Ioanna Papatsouma (Imperial College London) and co-supervised by Professor Alastair Young (Imperial College London).

Covariate adjustment methods using generalized empirical likelihood and robust estimators

Robust probabilistic inference via a constrained transport metric

Progressive permutation for a dynamic representation of the robustness of microbiome discoveries

Compute the Robustness of Bipartite Ecological Network using the Latent Block Model

Survey on Open Science Practices in Functional Neuroimaging. Dataset and Materials.

BenchMetrics - A Systematic Benchmarking Method for Binary-Classification Performance Metrics

Find the optimum number of states to use in a ChromHMM model

This project Implements the paper “Robustness implies Fairness in Casual Algorithmic Recourse” using the R language.

An R package performing generalized Bayes clustering

Robust estimations from distribution structures: Central moments.

Tools for assessing clustering robustness

Robust estimations from distribution structures: Mean.

Robust estimations from distribution structures: Invariant moments.