prob_ord_from_pool: verdict probabilities based on jury pool sentiment for...

In sate: Scientific Analysis of Trial Errors (SATE)

verdict probabilities based on jury pool sentiment for ordered verdict options.

Description

verdict probabilities based on jury pool sentiment for ordered verdict options.

Usage

prob_ord_from_pool(jury_n, verdict_options, verdict_props, digits = NULL)

Arguments

jury_n	Integer. Number of jurors.
verdict_options	Character vector of ordered verdict labels (e.g., 'c("NG","M2","M1")'). Order matters: left = most lenient. Labels must be non-missing, non-empty, and unique.
verdict_props	Numeric vector specifying proportion of jurors who support the respective verdict_options in the population from which jurors are drawn. (e.g., 'c(.25,.50,.25)'). Must correspond to verdict_options, contain non-missing finite values, be non-negative, and sum to a positive value.
digits	Integer. Optional, number of digits to round in the returned matrix.

Value

A vector of length K that are probabilities of the ordered verdicts.

See Also

[transition.matrix.ordered]

Examples

library(sate)

# Three-verdict ordered model with a 12-person jury:
prob_ord_from_pool(12, c("NG", "M2", "M1"), c(.25,.50,.25), digits=3)

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