Pinned Repositories
general2020forecasts
Summary of 2020 General Election forecasts, polls, and actual election outcomes
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.
Kmisc
This package is an assortment of functions that aid R programming.
ranking_error
Replication files for "Addressing Measurement Errors in Ranking Questions for the Social Sciences"
rankingQ
Package to produce quantities of interest from rank order questions after correcting for bias from random responses.
surveyML
Replication Data for: Division Does Not Imply Predictability: Demographics Continue to Reveal Little About Voting and Partisanship
swirl-tidy
Learn tidyverse in R via a set of swirl (https://swirlstats.com) lessons on introductions to tidyverse.
sysilviakim.github.io
Personal website.
turnout2016
Replication material for Kim, Alvarez, and Ramirez (2018) Who Voted in 2016? Using Machine Learning to Understand Voter Turnout.
turnoutARR
Replication Data for: Automatic Voter Re-registration as a Housewarming Gift: Quantifying Causal Effects on Turnout Using Movers
sysilviakim's Repositories
sysilviakim/swirl-tidy
Learn tidyverse in R via a set of swirl (https://swirlstats.com) lessons on introductions to tidyverse.
sysilviakim/Kmisc
This package is an assortment of functions that aid R programming.
sysilviakim/surveyML
Replication Data for: Division Does Not Imply Predictability: Demographics Continue to Reveal Little About Voting and Partisanship
sysilviakim/general2020forecasts
Summary of 2020 General Election forecasts, polls, and actual election outcomes
sysilviakim/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.
sysilviakim/ranking_error
Replication files for "Addressing Measurement Errors in Ranking Questions for the Social Sciences"
sysilviakim/rankingQ
Package to produce quantities of interest from rank order questions after correcting for bias from random responses.
sysilviakim/sysilviakim.github.io
Personal website.
sysilviakim/turnout2016
Replication material for Kim, Alvarez, and Ramirez (2018) Who Voted in 2016? Using Machine Learning to Understand Voter Turnout.
sysilviakim/turnoutARR
Replication Data for: Automatic Voter Re-registration as a Housewarming Gift: Quantifying Causal Effects on Turnout Using Movers
sysilviakim/voterdiffR
Evaluating the Quality of Changes in Voter Registration Databases
sysilviakim/CA-Anomaly-2020
sysilviakim/cjoint
cjoint CRAN mirror version's fork
sysilviakim/coloradoVotes
sysilviakim/fastLink
R package fastLink: Fast Probabilistic Record Linkage
sysilviakim/FBads2022
sysilviakim/keyATM
An R package for Keyword Assisted Topic Models
sysilviakim/proj
Project initialization template
sysilviakim/propSurveyCA
sysilviakim/qss-tidy
tidyverse code for QSS
sysilviakim/solicitRmenu
sysilviakim/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.
sysilviakim/voterTips2020
Caltech/MIT Voting Technology Project: Making Sure Your Vote is Counted in 2020
sysilviakim/winred
Replication files for "Keep Winning with WinRed? Online Fundraising Platform as the Party’s Public Good"