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rankingQ Public
Package to produce quantities of interest from rank order questions after correcting for bias from random responses.
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sysilviakim.github.io Public
Forked from daattali/beautiful-jekyllPersonal website.
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ranking_error Public
Replication files for "Addressing Measurement Errors in Ranking Questions for the Social Sciences"
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flowcraft Public
A free, local, browser-based diagramming application without servers, signups, installations, or dependencies.
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swirl-tidy Public
Learn tidyverse in R via a set of swirl (https://swirlstats.com) lessons on introductions to tidyverse.
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Kmisc Public
This package is an assortment of functions that aid R programming.
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qss Public
Forked from kosukeimai/qssSupplementary Materials for "Quantitative Social Science: An Introduction"
R GNU General Public License v2.0 UpdatedAug 13, 2025 -
fringe Public
Replication archive for Kim, Seo-young Silvia. 2025. "Fundraising on the Fringe: Do Ideologically Extreme Candidates Solicit Small Donations?" Forthcoming at Research & Politics.
R UpdatedJun 12, 2025 -
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winred Public
Replication files for "Keep Winning with WinRed? Online Fundraising Platform as the Party’s Public Good"
R GNU General Public License v3.0 UpdatedMar 7, 2025 -
turnoutARR Public
Replication Data for: Automatic Voter Re-registration as a Housewarming Gift: Quantifying Causal Effects on Turnout Using Movers
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textCF Public
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: 13540688241235…
R UpdatedMar 18, 2024 -
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keyATM Public
Forked from keyATM/keyATMAn R package for Keyword Assisted Topic Models
C++ GNU General Public License v3.0 UpdatedMar 28, 2023 -
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surveyML Public
Replication Data for: Division Does Not Imply Predictability: Demographics Continue to Reveal Little About Voting and Partisanship
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fastLink Public
Forked from kosukeimai/fastLinkR package fastLink: Fast Probabilistic Record Linkage
R UpdatedJun 13, 2021 -
hiddenDonorsELJ Public
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.
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