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NEWS.md

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sate v2.3.0 (Release date: TBD 2024-09-11)

Minor Changes:

  • Added compare.juror.stats function for comparing and evaluating difference between juror verdict preferences in actual and hypothetical trial conditions.
  • Added three functions to assist in calculating sampling weights to represent key demographic characteristics of a state or USA. Apply the encode.cloud.respondents.variables function to respondent information reported by Cloud Research. Use target.population.demographics to obtain demographic statistics for target population. Use weights_for_population to calculate sampling weights that balance respondent demographics relative to target population.
  • Added basic.plot.grid function to create basic plot element that can then be customized.
  • Improved reporting of estimated values in tables.
  • Improved documentation of functions.

sate v2.2.0 (Release date: TBD 2024-09-11)

Minor Changes:

  • Update the P(G|k) values supplied by the helper function get.model.values. Updated values based on matrix algebra rather than computer simulation. Differences extremely minor, but additional jury sizes added.
  • Introduced get_pG_by_k function. This function allows user to calculate P(G|k) values for juries with 3 or more members.
  • Improved formatting of results table returned by as.jury.stats, compare.jury.stats,
    sim.as.jury.stats, and sim.compare.jury.stats functions.
  • Added margin of error (MOE) to results tables reported by as.jury.stats, compare.jury.stats, sim.as.jury.stats, and sim.compare.jury.stats functions.
  • Fixed minor bug with randomly draw proportions falling outside [0, 1] interval.
  • Improved documentation of functions.

sate v2.1.0 (Release date: 2023-12-20)

Major Changes:

  • Major revision of all existing functions.
  • Graphing functions introduced, allowing users to plot the estimated probability of guilty verdict in single trial condition, or plot the effect of a trial error as difference between actual and hypothetical trial conditions.
  • Deliberation process modeled using a deliberate function which reduces standard errors of estimates. Users have option to estimate values using empirical model and standard errors generated through computational methods.
  • Account for selection of small trial jury from large jury pool.
  • Introduced optional arguments to account for varying jury size and peremptory strikes.

sate v1.1.0 (Release date: 2020-03-17)

Major Changes:

  • Initial release of Scientific Analysis of Trial Errors (SATE) R Package.