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Name: Yajuan Si
Type: User
Name: Yajuan Si
Type: User
How to calculate raked propensity scores for the ABCD Study cohort
Easily create a beautiful website using Academic and Hugo
Collection of scripts to analyze ABCD release data
:bar_chart: Methods of Applied Statistics Course Textbook Repository
Data Exploration and Analysis Portal of the ABCD Study
statistical models to analyze diagnostic tests
code for simulation and applied analyses
Example models for Stan
Interactive R workshop where we learn how to use ggplot2 to make high-quality plots.
A comprehensive tutorial about GWAS and PRS
Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
R functions for computing indices of non-ignorable selection bias for non-probability samples.
loo R package for approximate leave-one-out cross-validation and WAIC
Missing data/longitudinal data analysis/Latent class analysis/Bayesian Methods
multilevel regression and poststratification
Short course on MRP at 2018 AAPOR Conference
Tools and tutorials for multi-level regression and post-stratification of survey data
R Code and examples for Proxy Pattern-Mixture Analysis
Codes to reproduce the paper on Bayes-raking
A tutorial on record linkage (entity resolution or de-duplication)
rstanarm R package for Bayesian applied regression modeling
Stan
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.