comp_mirt: Compute a decision's miss rate from its sensitivity.

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Compute a decision's miss rate from its sensitivity.

Description

comp_mirt is a conversion function that takes a sensitivity sens – given as a probability (i.e., a numeric value in the range from 0 to 1) – as its input, and returns the corresponding miss rate mirt – also as a probability – as its output.

Usage

comp_mirt(sens)

Arguments

sens	The decision's sensitivity sens as a probability.

Details

The miss rate mirt and sensitivity sens are complements (mirt = (1 - sens)) and both features of the decision process (e.g., a diagnostic test).

The function comp_mirt is complementary to the conversion function comp_sens and uses the generic function comp_complement.

Value

The decision's miss rate mirt as a probability.

See Also

comp_complement computes a probability's complement; is_complement verifies probability complements; comp_prob computes current probability information; prob contains current probability information; is_prob verifies probabilities.

Other functions computing probabilities: comp_FDR(), comp_FOR(), comp_NPV(), comp_PPV(), comp_accu_freq(), comp_accu_prob(), comp_acc(), comp_comp_pair(), comp_complement(), comp_complete_prob_set(), comp_err(), comp_fart(), comp_ppod(), comp_prob_freq(), comp_prob(), comp_sens(), comp_spec()

Examples

comp_mirt(2)                       # => NA + warning (beyond range)
comp_mirt(1/3)                     # => 0.6666667
comp_mirt(comp_complement(0.123))  # => 0.123

riskyr documentation built on Aug. 15, 2022, 9:09 a.m.