Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
-
Updated
Nov 25, 2020 - R
Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
A functionally oriented interface for calling Julia from R
🌍 This repository hosts an in-depth analysis of COVID-19's impact across five key countries from Jan 2020 to Dec 2021. Through advanced data analysis and visualization, we aim to provide insights into how the pandemic evolved differently across these nations, shedding light on the effectiveness of various health measures and vaccination campaigns.
Making Energy Systems Modeling as simple as a linear regression in R
Handy reusable bioinformatic scripts
Code for reproducing the results from the preprint "Using early detection data to estimate the date of emergence of an epidemic outbreak".
Particle filters, smoothers and sampling algorithms for animal movement modelling, with a focus on passive acoustic telemetry systems.
Work related to statistical learning, computational statistics and applications to finance.
Hypergeometric function of a matrix argument (Koev & Edelman's algorithm)
Example of a SAS-based Quarto document
Repository containing code for Advent of Code challenges.
🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️💾️📜️ The sourceCode:Julia category for AI2001, containing Julia programming language datasets
R code supporting Lavender et al. (2025). patter: particle algorithms for animal tracking in R and Julia. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.70029
Learning resources for users of the `patter` R package
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012