Example datasets
The wevid package comes with the following dataset:
cleveland
is based on cross-validated prediction of coronary
disease in the Cleveland Heart Study (297 observations).
pima
is based on cross-validated prediction of diabetes
in Pima Native Americans (768 observations).
fitonly
is based on cross-validated prediction of colorectal
cancer from fecal immunochemical test (FIT) only in Michigan (242
observations). As most controls and some cases have have zero values
in the FIT test, to fit densities to the sampled values of weight of
evidence in controls and cases it is necessary to specify spike-slab
mixtures.
Each dataset consists of a data frame with the following variables:
prior.p: Prior probabilities of case status.
posterior.p: Posterior probabilities of case status.
y: Case-control status.
http://www.homepages.ed.ac.uk/pmckeigu/preprints/classify/wevidtutorial.html
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