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
[NeurIPS 2023] Efficient Solver for ERM with PLQ Loss and Linear Constraints
Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:
Agent-native Stata bridge for empirical research — run DiD/IV/RDD and publication-ready tables from Claude Code, Jupyter, or VS Code on one token-economy result schema, with StatsPAI cross-validation. | 面向实证研究的智能体 Stata 桥接器——在 Claude Code、Jupyter、VS Code 中用一套省 token 的结果格式跑 DiD/IV/RDD 与出版级表格，并支持 StatsPAI 跨栈交叉验证。
Statistical computing library that aims to provide R-like experience in modern C++
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
📓 💪 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
Statistical Computing Concepts for Public Health Researchers
Mathematical Foundations and Statistical Computing in R
Reproducibility Code for ``On Computing and the Complexity of Computing Higher-Order U-Statistics, Exactly''
Feng Li's Course Materials for Statistical Computing
Add a description, image, and links to the statistical-computing topic page so that developers can more easily learn about it.
To associate your repository with the statistical-computing topic, visit your repo's landing page and select "manage topics."