| comp_sens {riskyr} | R Documentation |
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 |
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