cr is the frequency of correct rejections
or true negatives (TN)
in a population of N individuals.
crAn 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:
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