FOR: The false omission rate (FOR) of a decision process or...

Description Usage Format Details References See Also Examples

Description

FOR defines a decision's false omission rate (FOR): The conditional probability of the condition being TRUE provided that the decision is negative.

Usage

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Format

An object of class numeric of length 1.

Details

Understanding or obtaining the false omission rate FOR:

References

Consult Wikipedia for additional information.

See Also

comp_FOR computes FOR as the complement of NPV; prob contains current probability information; comp_prob computes current probability information; num contains basic numeric parameters; init_num initializes basic numeric parameters; comp_freq computes current frequency information; is_prob verifies probability inputs.

Other probabilities: FDR, NPV, PPV, fart, mirt, ppod, prev, sens, spec

Examples

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FOR <- .05     # => sets a false omission rate of 5%
FOR <- 5/100   # => (condition = TRUE) for 5 out of 100 people with (decision = negative)
is_prob(FOR)   # => TRUE (as FOR is a probability)

riskyr documentation built on Feb. 19, 2018, 5 p.m.