get_pG_by_k

Calculates a vector probabilities that a jury with jury_n will return a guilty verdict.
 The vector represents P(G|k) for 0, 1, 2, ... , jury_n where k is the number of jurors
 initially in favor of guilty verdict.

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.

Barry Edwards

sate

Scientific Analysis of Trial Errors (SATE)

get_pG_by_k function

<dl><dt>jury_n</dt>
<dd>Size of the jury (i.e. 6, 8, or 12); default value is 6.</dd></dl>

Arguments

Calculates vector of probabilities that jury with jury_n will return a guilty verdict — get_pG_by_k

<dl>

<dt>jury_n</dt>
<dd>Size of the jury (i.e. 6, 8, or 12); default value is 6.</dd>

</dl>

get_pG_by_k: Calculates vector of probabilities that jury with jury_n will return a guilty verdict

Description

Usage

Value

Arguments

Examples