
Compute a decision's false omission rate (FOR) from probabilities.
Source:R/comp_prob_prob.R
comp_FOR.Rd
Arguments
- prev
The condition's prevalence
prev
(i.e., the probability of condition beingTRUE
).- sens
The decision's sensitivity
sens
(i.e., the conditional probability of a positive decision provided that the condition isTRUE
).- spec
The decision's specificity value
spec
(i.e., the conditional probability of a negative decision provided that the condition isFALSE
).
Value
The false omission rate FOR
as a probability.
A warning is provided for NaN values.
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_acc()
,
comp_accu_freq()
,
comp_accu_prob()
,
comp_comp_pair()
,
comp_complement()
,
comp_complete_prob_set()
,
comp_err()
,
comp_fart()
,
comp_mirt()
,
comp_ppod()
,
comp_prob()
,
comp_prob_freq()
,
comp_sens()
,
comp_spec()