fa is the frequency of false alarms
or false positives (
in a population of
An object of class
numeric of length 1.
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.
fa depends on the false alarm rate
(aka. false positive rate, FPR)
and is conditional on the prevalence
to other frequencies:
In a population of size
the following relationships hold:
N = cond_true + cond_false (by condition)
N = dec_pos + dec_neg (by decision)
N = dec_cor + dec_err (by correspondence of decision to condition)
N = hi + mi + fa + cr (by condition x decision)
fart is the probability of false alarms
(aka. false positive rate
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.
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