`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.

comp_mirt(sens)

sens | The decision's sensitivity |
---|

The decision's miss rate `mirt`

as a probability.

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`

.

`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(2) # => NA + warning (beyond range)#> [1] NAcomp_mirt(1/3) # => 0.6666667#> [1] 0.6666667#> [1] 0.123