R Packages

BARP (MRP - MR + BART = BARP): This package predicts opinion at a given level of geography, even if the original survey was not representative at this level. It augments multilevel regression and poststratification (MRP) by replacing the multilevel model with Bayesian Additive Regression Trees (BART). This provides a more accurate estimate of opinion as a function of observables and insulates the researcher from missing data and specification error. The user must provide both a survey dataset and census dataset with identically labeled covariates. The package can be installed via devtools by running install_github('jbisbee1/BARP')

QualtricsCreatoR: This package builds a Qualtrics survey in R using a provided list of survey questions and choices. The resulting .txt file can be imported into Qualtrics, facilitating the rapid creation of large-scale surveys. The package is inspired by Sean Murphy's blog post on the same topic. The package can be installed via devtools by running install_github('jbisbee1/QualtricsCreatoR').

Python Packages

FuzzyHash: This package facilitates a rapid implementation of the fuzzywuzzy Python package via hashing. The user must provide a search string and a list of reference strings in which to find suitable matches. Work in progress