Fuel economy data from the EPA, 1985-2015, conveniently
packaged for consumption by R users.

person(given = "Hadley",
family = "Wickham",
role = c("aut", "cre"),
email = "hadley@rstudio.com")
Fuel economy data from the EPA, 1985-2015,
conveniently packaged for consumption by R users.

FUzzy GEnetic, a machine learning algorithm to construct
prediction model based on fuzzy logic.
This is an evolutionary algorithm for fuzzy systems, a
genetic algorithm is used to construct a fuzzy system able to
fit the given training data.  This fuzzy system can then be
used as a prediction model, it's composed of fuzzy logic rules
that provide a good lingustic representation.

Sensitivity Analysis Optimized for Matched Sets of Varied Sizes
As in music, a fugue statistic repeats a theme in small variations.  Here, the psi-function that defines an m-statistic is slightly altered to maintain the same design sensitivity in matched sets of different sizes.  The main functions in the package are sen() and senCI().  For sensitivity analyses for m-statistics, see Rosenbaum (2007) Biometrics 63 456-464 <doi:10.1111/j.1541-0420.2006.00717.x>.

person(
given = "Jordan Mark",
family = "Barbone",
email = "jmbarbone@gmail.com",
role = c("aut", "cph", "cre"),
comment = c(ORCID = "0000-0001-9788-3628")
)
Provides core functions and utilities for packages and other code
developed by Jordan Mark Barbone.
Jordan Mark Barbone [aut, cph, cre]
(<https://orcid.org/0000-0001-9788-3628>)

Plot Full ROC Curves using Eyewitness Lineup Data
person("Yueran", "Yang", email = "yuerany@unr.edu", role = c("aut", "cre"))
Enable researchers to adjust identification rates using the 1/(lineup size) method, generate the full receiver operating characteristic (ROC) curves, and statistically compare the area under the curves (AUC).
References: Yueran Yang & Andrew Smith. (2020). "fullROC: An R package for generating and analyzing eyewitness-lineup ROC curves". <doi:10.13140/RG.2.2.20415.94885/1>  ,
Andrew Smith, Yueran Yang, & Gary Wells. (2020). "Distinguishing between investigator discriminability and eyewitness discriminability: A method for creating full receiver operating characteristic curves of lineup identification performance". Perspectives on Psychological Science, 15(3), 589-607. <doi:10.1177/1745691620902426>.