simonjackman
Political science, data science. Author of Bayesian Analysis for the Social Sciences.
Sydney, Australia
Pinned Repositories
aes
analysis of Australian Election Study data
aus_electorates_to_postcodes
We derive the correspondence between NSW legislative districts and postcodes via a spatial merge, using the G-NAF and a MapInfo file of district boundaries from the NSW Electoral Commission. We also provide an interactive tabular summary and map of the correspondence.
auspol_2022
Analysis of results from the 2022 Australian federal election
irt_sensitivity_prior
Code demonstrating sensitivity of Bayesian estimates of item-response theory (IRT) ability parameters to prior variance
poll_averaging_aus_2022
pscl
Political Science Computational Laboratory
simonjackman
Config files for my GitHub profile.
simonjackman.github.io
sportsbet
simonjackman's Repositories
simonjackman/sportsbet
simonjackman/pscl
Political Science Computational Laboratory
simonjackman/auspol_2022
Analysis of results from the 2022 Australian federal election
simonjackman/poll_averaging_aus_2022
simonjackman/simonjackman
Config files for my GitHub profile.
simonjackman/simonjackman.github.io
simonjackman/aes
analysis of Australian Election Study data
simonjackman/aus_electorates_to_postcodes
We derive the correspondence between NSW legislative districts and postcodes via a spatial merge, using the G-NAF and a MapInfo file of district boundaries from the NSW Electoral Commission. We also provide an interactive tabular summary and map of the correspondence.
simonjackman/irt_sensitivity_prior
Code demonstrating sensitivity of Bayesian estimates of item-response theory (IRT) ability parameters to prior variance
simonjackman/small_area_estimation
Inference for small geographies given data collected at higher levels of spatial resolution