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Name: Adam
Type: User
Company: University of Michigan
Bio: Statistician
Location: Pittsburgh, PA
Name: Adam
Type: User
Company: University of Michigan
Bio: Statistician
Location: Pittsburgh, PA
Repo for balancedteams R package.
Repo for developing app implementing a UI for the balancedteams package methods.
Nested Dirichlet Process Mixture Models to characterize Built Environment Data
The bentobox R package provides a complete toolbox of data structures and modeling strategies for working with and analyzing built environment data.
Bayesian Kernel Machine Regression via stan
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Function for scaling besag york and mollie model
Causal Inference Working Group's Practical Introduction to Bayesian Causal Inference Case Study
The Leek group guide to data sharing
dplyr: A grammar of data manipulation
Finite Hierarchical mixture Models for comparison to Nested Dirichlet Process
Repo to store my work for the coursera fundamentals of computing specialization
Code for Mafia simulation
Mastering Shiny: a book
Reproduces tables and graph for comparing Nested Dirichlet Process to finite mixture model competitor
Prototyping ideas for PGH Propensity to Cycle Tool
Repository for reproducible analysis of BYM-STAP analysis of Philly Crime
PTPT
rbenvo is a package of class (benvo) and methods for built environment data structures. They are designed to ease the use of working with these nonstandard data structures and improve interoperability with other R packages developing methods in this same space.
Spline implementation of Spatial Temporal Aggregated Predictors(STAP). Enables the identification and estimation of BEF network effects with both cross-sectional and longitudinal data.
Functional Spatial Temporal Aggregated Dirichlet Process Predictors
Github repository for BSA shiny tutorial
Code used for running simulations in "Heterogeneous Effects in the Built Environment" Peterson et al. 2021
Package to reproduce simulations for STAP manuscript
An opinionated lightweight template for smooth targets flows.
Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R
This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.
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.