Scientific Analysis of Trial Errors (SATE)

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Documentation for package ‘sate’ version 2.4.0

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as.jury.point Calculates probability a jury will find defendant guilty based on juror preferences
as.jury.stats Calculates probability a jury will find defendant guilty based on juror preferences, with standard error and confidence interval
basic.plot.grid Creates the shell of a plot showing relationship between jury pool preferences and jury verdict probabilities
compact_harm_plot Creates the shell of a plot used to display estimate of harm relative to harm threshold
compare.juror.stats Estimates juror-level differences based on sample statistics (from survey)
compare.jury.stats Estimates jury-level differences based on juror-level statistics with inferential statistics
deliberate Deliberation function
deliberate.civil Deliberation function for civil trials (proposed)
encode.cloud.respondent.variables Encodes Cloud Research respondent information in form suitable for calculating sampling weights
get_pG_by_k Calculates vector of probabilities that jury with n_jurors will return a guilty verdict
graph.effect.defendant Plots jury-level differences based on juror-level statistics with effect-on-defendant displayed
graph.estimate Plots probability of a guilty verdict with confidence interval based on juror-level statistics
observed.deliberations Dataset of Observed Deliberations
select.with.strikes Generates the distribution of initial votes for guilty verdict on juries
sim.as.jury.stats Estimates jury-level probability of guilty verdict based on juror-level statistics based on empirical data
sim.compare.jury.stats Estimates jury-level differences based on juror-level statistics using simulations based on empirical data
state.demographic.info State Demographic Information
target.population.demographics Looks up and returns key demographic statistics for target state to be used for calculating sample weights
weights_for_population Calculates survey weights given respondent information and target population demographics