Changes in version 2026-03-05                      

Minor Changes:

  - Improved reliability of compare.jury.stats by preventing unintended
    rounding effects in calculations.
  - Added optional simulation mode (simulate) to key stats and graph
    functions, with sensible defaults and user override support.
  - Strengthened input checks and error messages (missing arguments,
    invalid ranges/types, and required dataset fields).
  - Improved output clarity (including P(G) labeling) while keeping
    backward compatibility.
  - Expanded test coverage for core probability/statistical behavior and
    edge cases.
  - Updated function documentation for clearer usage and argument
    expectations.

                     Changes in version 2025-11-06                      

Major Changes:

  - Updated get_pG_by_k function. Implemented analytic method for
    obtaining guilty/death verdict probabilities given jury size. The
    analytic solution is based on matrix algebra, not simulation or use
    of while loop. Improved function used by analysis functions for
    faster and more precise results.
  - Added transition.matrix function. It returns a transition
    probability matrix for jury deliberating choice between NG and G
    verdicts.
  - Added transition.matrix.ordered function. It generates a transition
    probability matrix for jury deliberating choice among three or more
    ordered verdict options.
  - Added prob.ordered.verdicts function. It obtain the final
    (absorbing) state probabilities for jury deliberating among three or
    more ordered verdict options. This function calls the
    transition.matrix.ordered function (which may also be called as
    stand alone function).
  - Added prob_ord_from_pool function. Given verdict preferences in
    population from which jurors are selected, it returns deliberated
    verdict probabilities for trial jury deliberating among three or
    more ordered verdict options. This function calls the
    transition.matrix.ordered and prob.ordered.verdicts functions (which
    may also be called as stand alone functions).

                     Changes in version 2025-03-04                      

Minor Changes:

  - Updated weights_for_population function to handle survey data
    without missing respondent data.

                     Changes in version 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.

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.

                     Changes in version 2024-03-04                      

Minor Changes:

  - Added observed.deliberation dataset, a compilation of observed
    deliberation outcomes that is useful to estimate relationship
    between initial jury poll and trial verdicts.

                     Changes in version 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.

                     Changes in version 2020-03-17                      

Major Changes:

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