`fa`

is the frequency of false alarms
or false positives (`FP`

)
in a population of `N`

individuals.

`fa`

An object of class `numeric`

of length 1.

Definition:
`fa`

is the frequency of individuals for which
`Condition = FALSE`

and `Decision = TRUE`

(positive).

`fa`

is a measure of incorrect classifications
(type-I-errors), not an individual case.

Relationships:

to probabilities: The frequency

`fa`

depends on the false alarm rate`fart`

(aka. false positive rate, FPR) and is conditional on the prevalence`prev`

.to other frequencies: In a population of size

`N`

the following relationships hold:

`fart`

is the probability of false alarms
(aka. false positive rate `FPR`

or `fallout`

);
`num`

contains basic numeric parameters;
`init_num`

initializes basic numeric parameters;
`freq`

contains current frequency information;
`comp_freq`

computes current frequency information;
`prob`

contains current probability information;
`comp_prob`

computes current probability information;
`is_freq`

verifies frequencies.

Other essential parameters: `cr`

,
`hi`

, `mi`

, `prev`

,
`sens`

, `spec`

Other frequencies: `N`

,
`cond_false`

, `cond_true`

,
`cr`

, `dec_cor`

,
`dec_err`

, `dec_neg`

,
`dec_pos`

, `hi`

, `mi`