Code for modelling estimated deaths and cases for COVID19.

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

A gallery of animations in statistics and utilities to create animations

🐳 Containerize R Markdown documents for continuous reproducibility

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence

Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:

PM520 Advanced Statistical Computing

Statistical computing library that aims to provide R-like experience in modern C++

📓 💪 An introductory workshop lecture on ensemble machine learning with pipelines using the sl3 R package

Intro to Statistical Data Analysis using R

About Course webpage for UCLA Biostat 257 (Computational Methods for Biostatistical Research)

Monte is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.

Source code for "STAT 3150 - Fall 2020" webpage

Feng Li's Course Materials for Statistical Computing

A comprehensive collection of R scripts focusing on Probability and Statistics. Includes foundational data manipulation, Exploratory Data Analysis (EDA), statistical visualization (histograms, boxplots), and implementation of various probability distributions like Binomial, Normal, and Poisson. Ideal for showcasing core statistical computing skills

Statistical Computing Concepts for Public Health Researchers

Mathematical Foundations and Statistical Computing in R

Aspects of numerical analysis in the field of data science (matrix inversion, splines, function optimization, bayesian statistics, MCMC, etc)

This installs a ready to use Posit R Environment on AWS EKS - See Readme for details