dec_pos is a frequency that describes the
number of individuals in the current population
for which the decision is positive (i.e., called or predicted cases).
An object of class
numeric of length 1.
The frequency of
dec_pos individuals depends on the population size
the decision's proportion of positive decisions
ppod and is split further into two subsets of
hi by the positive predictive value
fa by the false detection rate
FDR = 1 - PPV.
dec_pos is determined by the population size
the proportion of positive decisions
dec_pos = N x ppod
a. The frequency
hi is determined by
dec_pos times the positive predictive value
hi = dec_pos x PPV
b. The frequency
fa is determined by
dec_pos times the false detection rate
FDR = (1 - PPV):
fa = dec_pos x FDR = dec_pos x (1 - PPV)
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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