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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", "2.1.0")
Attach the package and use:
library("sate")
Maintained by
Barry Edwards
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
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 2.1.0, https://cran.r-project.org/web/packages/sate
Previous versions and publish date:
1.1.0 (2020-03-24 17:20)
Other packages that cited sate R package
View sate citation profile
Other R packages that sate depends,
imports, suggests or enhances
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
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