Package: sate 2.2.0

Barry Edwards

sate: Scientific Analysis of Trial Errors (SATE)

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 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.

Authors:Barry Edwards [aut, cre]

sate_2.2.0.tar.gz
sate_2.2.0.tar.gz(r-4.5-noble)sate_2.2.0.tar.gz(r-4.4-noble)
sate_2.2.0.tgz(r-4.4-emscripten)sate_2.2.0.tgz(r-4.3-emscripten)
sate.pdf |sate.html
sate/json (API)
NEWS

# Install 'sate' in R:
install.packages('sate', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.68 score 24 scripts 170 downloads 1 mentions 11 exports 2 dependencies

Last updated 2 months agofrom:bd9b3f5de2. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-linuxOKNov 11 2024

Exports:as.jury.pointas.jury.statscompare.jury.statsdeliberatedeliberate.civilget_pG_by_kgraph.effect.defendantgraph.estimateselect.with.strikessim.as.jury.statssim.compare.jury.stats

Dependencies:ellipseMASS