Scientific Analysis of Trial Errors (SATE)
Calculates probability a jury will find defendant guilty based on juro...
Calculates probability a jury will find defendant guilty based on juro...
Creates the shell of a plot showing relationship between jury pool pre...
Creates the shell of a plot used to display estimate of harm relative ...
Estimates juror-level differences based on sample statistics (from sur...
Estimates jury-level differences based on juror-level statistics with ...
Deliberation function for civil trials (proposed)
Deliberation function
Encodes Cloud Research respondent information in form suitable for cal...
Calculates vector of probabilities that jury with jury_n will return a...
Plots jury-level differences based on juror-level statistics with effe...
Plots probability of a guilty verdict with confidence interval based o...
verdict probabilities based on jury pool sentiment for ordered verdict...
Absorption probabilities for ordered-category jury models
Generates the distribution of initial votes for guilty verdict on juri...
Estimates jury-level probability of guilty verdict based on juror-leve...
Estimates jury-level differences based on juror-level statistics using...
Looks up and returns key demographic statistics for target state to be...
Build column-stochastic transition matrix for ordered verdict options
Creates and Returns a Transition Probability Matrix for Deliberating C...
Calculates survey weights given respondent information and target popu...
Bundles functions used to analyze the harmfulness of trial errors in criminal trials. Functions in the Scientific Analysis of Trial Errors ('sate') package help users estimate the probability that a jury will find a defendant guilty given jurors' preferences for a guilty verdict and the uncertainty of that estimate. Users can also compare actual and hypothetical trial conditions to conduct harmful error analysis. The conceptual framework is discussed by Barry Edwards, A Scientific Framework for Analyzing the Harmfulness of Trial Errors, UCLA Criminal Justice Law Review (2024) <doi:10.5070/CJ88164341> and Barry Edwards, If The Jury Only Knew: The Effect Of Omitted Mitigation Evidence On The Probability Of A Death Sentence, Virginia Journal of Social Policy & the Law (2025) <https://vasocialpolicy.org/wp-content/uploads/2025/05/Edwards-If-The-Jury-Only-Knew.pdf>. The relationship between individual jurors' verdict preferences and the probability that a jury returns a guilty verdict has been studied by Davis (1973) <doi:10.1037/h0033951>; MacCoun & Kerr (1988) <doi:10.1037/0022-3514.54.1.21>, and Devine et el. (2001) <doi:10.1037/1076-8971.7.3.622>, among others.