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.
sate v3.1.0 (Release date:
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).
sate v2.5.0 (Release date:
2025-03-04)
Minor Changes:
Updated weights_for_population function to handle survey data
without missing respondent data.
sate v2.4.0
(Release date: 2024-03-04, approx.)
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.
sate v2.3.0 (Release date:
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:
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.