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sate  

Scientific Analysis of Trial Errors (SATE)
View on CRAN: Click here


Download and install sate package within the R console
Install from CRAN:
install.packages("sate")

Install from Github:
library("remotes")
install_github("cran/sate")

Install by package version:
library("remotes")
install_version("sate", "2.4.0")



Attach the package and use:
library("sate")
Maintained by
Barry Edwards
[Scholar Profile | Author Map]
First Published: 2020-03-24
Latest Update: 2020-03-24
Description:
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) ; MacCoun & Kerr (1988) , and Devine et el. (2001) , among others.
How to cite:
Barry Edwards (2020). sate: Scientific Analysis of Trial Errors (SATE). R package version 2.4.0, https://cran.r-project.org/web/packages/sate. Accessed 01 Apr. 2025.
Previous versions and publish date:
1.1.0 (2020-03-24 17:20), 2.1.0 (2023-12-21 00:20), 2.2.0 (2024-09-11 23:10), 2.2.1 (2024-12-05 09:30), 2.3.0 (2025-02-06 18:40)
Other packages that cited sate R package
View sate citation profile
Other R packages that sate depends, imports, suggests or enhances
Complete documentation for sate
Functions, R codes and Examples using the sate R package
Some associated functions: as.jury.point . as.jury.stats . compare.jury.stats . deliberate.civil . deliberate . graph.effect.defendant . graph.estimate . select.with.strikes . sim.as.jury.stats . sim.compare.jury.stats . 
Some associated R codes: Full sate package functions and examples
Downloads during the last 30 days
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