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.
Arguments
- sens
The decision's sensitivity
sensas a probability.
Value
The decision's miss rate mirt 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.
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_acc(),
comp_accu_freq(),
comp_accu_prob(),
comp_comp_pair(),
comp_complement(),
comp_complete_prob_set(),
comp_err(),
comp_fart(),
comp_ppod(),
comp_prob(),
comp_prob_freq(),
comp_sens(),
comp_spec()
Examples
comp_mirt(2) # => NA + warning (beyond range)
#> [1] NA
comp_mirt(1/3) # => 0.6666667
#> [1] 0.6666667
comp_mirt(comp_complement(0.123)) # => 0.123
#> [1] 0.123