cond_false is a frequency that describes the
number of individuals in the current population
for which the condition is
FALSE (i.e., actually false cases).
An object of class
numeric of length 1.
The frequency of
cond_false individuals depends on the population size
the complement of the condition's prevalence
1 - prev and is split further into two subsets of
fa by the false alarm rate
cr by the specificity
cond_false is determined by the population size
N times the complement of the prevalence
(1 - prev):
cond_false= N x (1 - prev)
a. The frequency
fa is determined by
cond_false times the false alarm rate
fart = (1 - spec)
fa = cond_false x fart = cond_false x (1 - spec)
b. The frequency
cr is determined by
cond_false times the specificity
spec = (1 - fart):
cr = cond_false x spec = cond_false x (1 - fart)
to other frequencies:
In a population of size
N 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)
Current frequency information is computed by
comp_freq and contained in a list
Consult Wikipedia: Confusion matrix for additional information.
is_freq verifies frequencies;
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.
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