# comp_mirt

0th

Percentile

##### Compute a decision's miss rate from its sensitivity.

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.

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

• comp_mirt
##### Examples
# NOT RUN {
comp_mirt(2)                       # => NA + warning (beyond range)
comp_mirt(1/3)                     # => 0.6666667
comp_mirt(comp_complement(0.123))  # => 0.123

# }

Documentation reproduced from package riskyr, version 0.2.0, License: GPL-2 | GPL-3

### Community examples

Looks like there are no examples yet.