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Adam's Projects

balancedteamsapp icon balancedteamsapp

Repo for developing app implementing a UI for the balancedteams package methods.

bendr icon bendr

Nested Dirichlet Process Mixture Models to characterize Built Environment Data

bentobox icon bentobox

The bentobox R package provides a complete toolbox of data structures and modeling strategies for working with and analyzing built environment data.

bkmr2 icon bkmr2

Bayesian Kernel Machine Regression via stan

brms icon brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

bymscale icon bymscale

Function for scaling besag york and mollie model

ciwg_tutorial icon ciwg_tutorial

Causal Inference Working Group's Practical Introduction to Bayesian Causal Inference Case Study

dplyr icon dplyr

dplyr: A grammar of data manipulation

fhmm icon fhmm

Finite Hierarchical mixture Models for comparison to Nested Dirichlet Process

ndpcompare icon ndpcompare

Reproduces tables and graph for comparing Nested Dirichlet Process to finite mixture model competitor

phillycrime icon phillycrime

Repository for reproducible analysis of BYM-STAP analysis of Philly Crime

rbenvo icon rbenvo

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.

rsstap icon rsstap

Spline implementation of Spatial Temporal Aggregated Predictors(STAP). Enables the identification and estimation of BEF network effects with both cross-sectional and longitudinal data.

rstapdp icon rstapdp

Functional Spatial Temporal Aggregated Dirichlet Process Predictors

stapdpsimulations icon stapdpsimulations

Code used for running simulations in "Heterogeneous Effects in the Built Environment" Peterson et al. 2021

tflow icon tflow

An opinionated lightweight template for smooth targets flows.

tidycensus icon tidycensus

Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R

umich-eecs545-lectures icon umich-eecs545-lectures

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.

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