k-alari Goto Github PK
Name: Krissi Alari
Type: User
Bio: Statistics Graduate Student at UC Berkeley
Location: SF Bay Area
Blog: kalari.netlify.app
Name: Krissi Alari
Type: User
Bio: Statistics Graduate Student at UC Berkeley
Location: SF Bay Area
Blog: kalari.netlify.app
This R Shiny applet walks the user through a Bayesian approach to Bland Altman analysis. It was designed to be a companion to the following publication: https://doi.org/10.1080/1091367X.2020.1853130
This is the code for my personal website which I built using the blogdown package in R and deployed using Netlify. This is an ongoing project that I continually update, so stay tuned for more! You can find my website at kalari.netlify.app
This repository is for my senior capstone project at Cal State Monterey Bay. This contains the code needed to run the R Shiny applet I developed to run the Sequential Probability Ratio Test (SPRT). The app is live at https://kalari.shinyapps.io/SPRT/
This repository is for my senior capstone project at Cal State Monterey Bay. This contains the code needed to run the modified R Shiny applet I developed to run the Sequential Probability Ratio Test (SPRT) for binary data. The app is live at https://kalari.shinyapps.io/SPRT_binary/
This repository holds course materials for the fall 2021 offering of Statistics 243 at UC Berkeley.
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.