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 **Superseded by the models-by-example repo**.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 **Superseded by the models-by-example repo**.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
Making Energy Systems Modeling as simple as a linear regression in 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.
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".
Work related to statistical learning, computational statistics and applications to finance.
Hypergeometric function of a matrix argument (Koev & Edelman's algorithm)
Repository containing code for Advent of Code challenges.
Example of a SAS-based Quarto document
🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️💾️📜️ The sourceCode:Julia category for AI2001, containing Julia programming language datasets
R code supporting Lavender et al. (in prep). patter: particle algorithms for animal tracking in R and Julia.
Statistical Learning, Machine Learning and Deep Learning algorithms
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012