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Robert Kubinec's Projects

abbyyr icon abbyyr

R Client for the Abbyy Cloud OCR

algiers_replication icon algiers_replication

Replication files for the paper, "Taxes in the Time of Revolution: An Experimental Test of the Rentier State during Algeria's Hirak"

algoeval icon algoeval

R package algoeval uses Bayesian hierarchical models to evaluate net profit given a set of competing customer targeting algorithms (or any other kind of machine learning algorithms).

arab_polarization icon arab_polarization

Code and data to reproduce the paper When Groups Fall Apart: Measuring Transnational Polarization with Twitter from the Arab Uprisings by John Owen and Robert Kubinec

bayesplot icon bayesplot

bayesplot R package for plotting Bayesian models

cdcmask icon cdcmask

A replication and critique of the CDC's mask mandate study.

crony_book icon crony_book

Repository of code and data files to reproduce results in Making Democracy Safe for Business: Corporate Politics During the Arab Uprisings

election_forecast icon election_forecast

My port of Kremp's US election forecast model (based on an earlier version by Linzer).

emshiny icon emshiny

A Shiny app interactively demonstrating the expectation maximization algorithm by clustering the American National Election Study.

gsynth icon gsynth

Generalized Synthetic Control Method

idealstan icon idealstan

idealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Latent space model also included. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).

ordbetareg icon ordbetareg

Paper repository for "Ordered Beta Regression" (Kubinec 2022). For R package ordbetareg, see Github repo www.github.com/saudiwin/ordbetareg_pack

ordbetareg_pack icon ordbetareg_pack

Repository for R package ordbetareg, used to fit continuous data with lower and upper bounds.

panelsim icon panelsim

Simulation and power analysis of panel/hierarchical data that allows for independently generating effects by cross-section (between-subject) and case (within-subject), including auto-correlation in either dimension.

princeton_trade icon princeton_trade

Code and Data Repository for "A Field Experiment on Business Opposition to the U.S.-China Trade War"

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