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

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Compute a decision's sensitivity from its miss rate.

Description

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

Usage

comp_sens(mirt)

Arguments

mirt	The decision's miss rate mirt as a probability.

Details

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

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

Value

The decision's sensitivity sens 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_mirt(), comp_ppod(), comp_prob_freq(), comp_prob(), comp_spec()

Examples

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

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