spec: The specificity of a decision process or diagnostic...

Description Usage Format Details References See Also Examples

Description

spec defines a decision's specificity value (or correct rejection rate): The conditional probability of the decision being negative if the condition is FALSE.

Usage

1

Format

An object of class numeric of length 1.

Details

Understanding or obtaining the specificity value spec:

References

Consult Wikipedia for additional information.

See Also

comp_spec computes spec as the complement of fart; 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 probabilities.

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

Other essential parameters: cr, fa, hi, mi, prev, sens

Examples

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spec <- .75     # sets a specificity value of 75%
spec <- 75/100  # (decision = negative) for 75 out of 100 people with (condition = FALSE)
is_prob(spec)   # TRUE

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