`cr`

is the frequency of correct rejections
or true negatives (`TN`

)
in a population of `N`

individuals.

`cr`

An object of class `numeric`

of length 1.

Definition:
`cr`

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

and `Decision = FALSE`

(negative).

`cr`

is a measure of correct classifications,
not an individual case.

Relationships:

to probabilities: The frequency

`cr`

depends on the specificity`spec`

(aka. true negative rate, TNR) and is conditional on the prevalence`prev`

.to other frequencies: In a population of size

`N`

the following relationships hold:

`spec`

is the specificity or correct rejection rate
(aka. true negative rate `TNR`

);
`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: `fa`

,
`hi`

, `mi`

, `prev`

,
`sens`

, `spec`

Other frequencies: `N`

,
`cond_false`

, `cond_true`

,
`dec_cor`

, `dec_err`

,
`dec_neg`

, `dec_pos`

,
`fa`

, `hi`

, `mi`