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Seo-young Silvia Kim's Projects

cjoint icon cjoint

cjoint CRAN mirror version's fork

fastlink icon fastlink

R package fastLink: Fast Probabilistic Record Linkage

hiddendonorselj icon hiddendonorselj

Code for Alvarez, R. Michael, Jonathan N. Katz, and Seo-young Silvia Kim. “Hidden Donors: The Censoring Problem in U.S. Federal Campaign Finance Data.” Forthcoming, Election Law Journal.

keyatm icon keyatm

An R package for Keyword Assisted Topic Models

kmisc icon kmisc

This package is an assortment of functions that aid R programming.

proj icon proj

Project initialization template

surveyml icon surveyml

Replication Data for: Division Does Not Imply Predictability: Demographics Continue to Reveal Little About Voting and Partisanship

swirl-tidy icon swirl-tidy

Learn tidyverse in R via a set of swirl (https://swirlstats.com) lessons on introductions to tidyverse.

textcf icon textcf

Replication repository for Kim, Seo-young Silvia, Jan Zilinsky, and Brian Brew. 2024. “Donate to Help Us Fight Back: Political Fundraising and Toxic Rhetoric Online.” Party Politics: 13540688241235901. doi:10.1177/13540688241235901.

turnout2016 icon turnout2016

Replication material for Kim, Alvarez, and Ramirez (2018) Who Voted in 2016? Using Machine Learning to Understand Voter Turnout.

turnoutarr icon turnoutarr

Replication Data for: Automatic Voter Re-registration as a Housewarming Gift: Quantifying Causal Effects on Turnout Using Movers

voterdiffr icon voterdiffr

Evaluating the Quality of Changes in Voter Registration Databases

votertips2020 icon votertips2020

Caltech/MIT Voting Technology Project: Making Sure Your Vote is Counted in 2020

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