ef_classify: Classify observations into fraud distributions
In UMeforensics/eforensics_public: Election Forensics: Positive Empirical Models of Election Fraud
Description
This function classifies the data points into one of three distributions: incremental fraud, extreme fraud, and no fraud.
Usage
1
ef_classify(data, samples)
Arguments
data
a data frame with the data
samples
the output of the function eforensics
UMeforensics/eforensics_public documentation built on Oct. 31, 2019, 12:49 a.m.
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Description
This function classifies the data points into one of three distributions: incremental fraud, extreme fraud, and no fraud.
Usage
1 | ef_classify(data, samples)
|
Arguments
data |
a data frame with the data |
samples |
the output of the function |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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