Package: sate 2.2.1
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:
sate_2.2.1.tar.gz
sate_2.2.1.tar.gz(r-4.5-noble)sate_2.2.1.tar.gz(r-4.4-noble)
sate_2.2.1.tgz(r-4.4-emscripten)sate_2.2.1.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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 20 days agofrom:88a72fd893. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 05 2024 |
| R-4.5-linux | OK | Dec 05 2024 |
Exports:as.jury.pointas.jury.statscompare.jury.statsdeliberatedeliberate.civilget_pG_by_kgraph.effect.defendantgraph.estimateselect.with.strikessim.as.jury.statssim.compare.jury.stats
