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
About Course webpage for UCLA Biostat 257 (Computational Methods for Biostatistical Research)
Intro to Statistical Data Analysis using R
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
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)
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.
Statistical Computing - source Rmarkdown files
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