as.jury.stats: Calculates probability a jury will find defendant guilty...

In sate: Scientific Analysis of Trial Errors (SATE)

Calculates probability a jury will find defendant guilty based on juror preferences, with standard error and confidence interval

Description

Calculates probability jury finds defendant guilty based on verdicts preferences of jury pool. Also reports standard error and confidence interval of estimate (use as.jury.point function for estimate only).

Usage

as.jury.stats(
  sample_pg,
  sample_n,
  jury_n = 12,
  pstrikes = 0,
  dstrikes = 0,
  accuracy = 0.15,
  digits = 3,
  simulate = FALSE
)

Arguments

sample_pg	Proportion of jurors who favor a guilty verdict; a number between 0 and 1.
sample_n	Size of sample used to estimate sample_pg.
jury_n	Size of the jury (i.e. 6, 8, or 12); default value is 12.
pstrikes	Number of peremptory strikes by prosecution; default value is 0.
dstrikes	Number of peremptory strikes by defendant; default value is 0.
accuracy	Accuracy of parties' peremptory strikes; a number between 0 and 1; default value is .15.
digits	Number of digits to report after decimal places; default value is 3.
simulate	Simulation control for uncertainty estimation. Use 'FALSE' (default) for analytic method, 'TRUE' for simulation with defaults ('nDraws=10000', 'seed=NULL'), or a named list like 'list(nDraws=5000, seed=12345)'.

Value

Returns a one-row data.frame with columns: P(G), SE, MOE, Lower 5

Examples

   library(sate)
   as.jury.stats(sample_pg=.50, sample_n=830)

   as.jury.stats(sample_pg=10/12, sample_n=295)

   as.jury.stats(sample_pg=.50, sample_n=830, simulate=TRUE)

   as.jury.stats(sample_pg=.50, sample_n=830,
                 simulate=list(nDraws=5000, seed=12345))

sate documentation built on March 6, 2026, 1:07 a.m.