FDR: The false detection rate of a decision process or diagnostic...

Description Usage Format Details References See Also Examples

Description

FDR defines a decision's false detection (or false discovery) rate (FDR): The conditional probability of the condition being FALSE provided that the decision is positive.

Usage

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Format

An object of class numeric of length 1.

Details

Understanding or obtaining the false detection fate or false discovery rate (FDR):

References

Consult Wikipedia for additional information.

See Also

prob contains current probability information; comp_prob computes current probability information; num contains basic numeric parameters; init_num initializes basic numeric parameters; freq contains current frequency information; comp_freq computes current frequency information; is_prob verifies probabilities.

Other probabilities: FOR, NPV, PPV, acc, err, fart, mirt, ppod, prev, sens, spec

Examples

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FDR <- .45     # sets a false detection rate (FDR) of 45%
FDR <- 45/100  # (condition = FALSE) for 45 out of 100 people with (decision = positive)
is_prob(FDR)   # TRUE

riskyr documentation built on Jan. 3, 2019, 1:06 a.m.