riskyr (version 0.2.0)

comp_sens: 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.

Value

The decision's sensitivity sens 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.

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

Run this code
# NOT RUN {
comp_sens(2)                       # => NA + warning (beyond range)
comp_sens(1/3)                     # => 0.6666667
comp_sens(comp_complement(0.123))  # => 0.123

# }

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