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

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

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.

Intro to Statistical Data Analysis using R

Source code for "STAT 3150 - Fall 2020" webpage

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

Feng Li's Course Materials for Statistical Computing

Statistical Computing Concepts for Public Health Researchers

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

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

UCLA Biostat M257 - 2024 Spring

An R package for fitting Coxian Phase-Type distributions using the Expectation-Maximization (EM) algorithm. Supports parameter estimation, model selection, survival function computation, and visualization for applications in survival analysis, queueing models, and reliability engineering.

A modular R framework for data analysis, with emphasis on data processing and reproducible workflows.