birdie - Bayesian Instrumental Regression for Disparity Estimation

Bayesian models for accurately estimating conditional distributions by race, using Bayesian Improved Surname Geocoding (BISG) probability estimates of individual race. Implements the methods described in McCartan, Fisher, Goldin, Ho and Imai (2025) <doi:10.1080/01621459.2025.2526695>.

Last updated

imputationracial-disparitiesstatisticscpp

5.40 score 7 stars 36 scripts 234 downloads

wacolors - Colorblind-Friendly Palettes from Washington State

Color palettes taken from the landscapes and cities of Washington state. Colors were extracted from a set of photographs, and then combined to form a set of continuous and discrete palettes. Continuous palettes were designed to be perceptually uniform, while discrete palettes were chosen to maximize contrast at several different levels of overall brightness and saturation. Each palette has been evaluated to ensure colors are distinguishable by colorblind people.

Last updated

color-palettecolorblindcolorblind-friendly-palettesdata-visualizationwashington-state

5.22 score 16 stars 1 dependents 69 scripts 327 downloads

easycensus - Quickly Find, Extract, and Marginalize U.S. Census Tables

Extracting desired data using the proper Census variable names can be time-consuming. This package takes the pain out of that process by providing functions to quickly locate variables and download labeled tables from the Census APIs (<https://www.census.gov/data/developers/data-sets.html>).

Last updated

acs-datacensuscensus-api

4.18 score 18 stars 17 scripts 416 downloads

adjustr - Stan Model Adjustments and Sensitivity Analyses using Importance Sampling

Assess the sensitivity of a Bayesian model (fitted using 'Stan' via 'rstan', 'brms', or 'cmdstanr') to the specification of its likelihood and priors. Users provide a series of alternate sampling specifications, and the package uses Pareto-smoothed importance sampling (PSIS) to estimate posterior quantities of interest under each specification, without needing to refit the model. Methods are based on Vehtari, Simpson, Gelman, Yao, and Gabry (2024) <doi:10.48550/arXiv.1507.02646>.

Last updated

3.74 score 11 stars 4 scripts

adjustr - Stan Model Adjustments and Sensitivity Analyses using Importance Sampling

Assess the sensitivity of a Bayesian model (fitted using 'Stan' via 'rstan', 'brms', or 'cmdstanr') to the specification of its likelihood and priors. Users provide a series of alternate sampling specifications, and the package uses Pareto-smoothed importance sampling (PSIS) to estimate posterior quantities of interest under each specification, without needing to refit the model. Methods are based on Vehtari, Simpson, Gelman, Yao, and Gabry (2024) <doi:10.48550/arXiv.1507.02646>.

Last updated

2.70 score

nbhdmodel - Neighborhood Modeling and Analysis

Functionality for fitting neighborhood models of McCartan, Brown, and Imai <arXiv:2110.14014>. The core methodology is described in the paper and can be implemented with any tool that can fit generalized linear mixed models (GLMMs). However, some of the preprocessing necessary to set up the GLMM can be onerous. In addition to providing a specialized GLMM routine, this package provides several preprocessing functions that, while not completely general, should be useful for others performing these kinds of analyses.

Last updated

cpp

2.18 score 3 stars

schmear - Build Structured Data Frame Subtypes

Provides developer-focused helper functions and S3 classes to ease the creation of structured subtypes of data frames. Developers can require certain columns and types to be present, and can enforce crossing and nesting relationships between values in different columns. Type-specific metadata and attributes are preserved through common data frame manipulations.

Last updated

1.70 score