comp_FOR computes the false omission rate FOR from 3 essential probabilities prev, sens, and spec.

comp_FOR(prev, sens, spec)



The condition's prevalence prev (i.e., the probability of condition being TRUE).


The decision's sensitivity sens (i.e., the conditional probability of a positive decision provided that the condition is TRUE).


The decision's specificity value spec (i.e., the conditional probability of a negative decision provided that the condition is FALSE).


The false omission rate FOR as a probability. A warning is provided for NaN values.


comp_FOR uses probabilities (not frequencies) and does not round results.

See also

comp_spec and comp_NPV compute related probabilities; is_extreme_prob_set verifies extreme cases; 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_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_sens, comp_spec


# (1) Ways to work: comp_FOR(.50, .500, .500) # => FOR = 0.5 = (1 - NPV)
#> [1] 0.5
comp_FOR(.50, .333, .666) # => FOR = 0.5004 = (1 - NPV)
#> [1] 0.5003751