Inference of microbial interaction networks from large-scale heterogeneous abundance data

Compositional data analysis in Julia

Implementation of Semantic Parsing with BERT and compositional pre-training on GeoQuery

📦BEEM-Static: An R package for inferring microbial interactions based on Lotka-Volterra models

Deep learning for personalized interpretability for compositional health data

Functional programming utilities for PHP

Practical introduction to modelling and testing for structural breaks in time-series data.

Dirichlet adaptive shrinkage for compositional data

Forecast mortality using Compositional Data Lee-Carter model - R Package

R package for Dirichlet adaptive shrinkage and smoothing

Stata module to examine dynamic compositional dependent variables

Web applications for use with compositional data. Post-graduate work for Dr. Dot Dimuid and Prof. Timothy Olds at University of South Australia.

Replication of Frerebeau, N., Ben Amara, A. and Cantin, N. (2020)

Using champion mastery data from Rot games API to visualize champion connections based on correlation metrics of compositional data in a network. Unsupervised learning was also used to categorize the champions. Lastly, weighted graph distance was used to make a recommender system for new champions based on played chamoions input.

Plots from papers by Jeffrey M. Dick

splineDensity Rpackage: Density estimation with smoothing B-spline