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dec_neg is a frequency that describes the
number of individuals in the current population N
for which the decision is negative (i.e., cases not called or not predicted).
dec_negAn object of class numeric of length 1.
Key relationships:
to probabilities:
The frequency of dec_neg individuals depends on the population size N and
the decision's proportion of negative decisions (1 - ppod) and is split further into two subsets of
cr by the negative predictive value NPV and
mi by the false omission rate FOR = 1 - NPV.
Perspectives:
by condition:
The frequency dec_neg is determined by the population size N times
the proportion of negative decisions (1 - ppod):
by decision:
a. The frequency cr is determined by dec_neg times the negative predictive value NPV:
b. The frequency mi is determined by dec_neg times the false omission rate FOR = (1 - NPV):
to other frequencies:
In a population of size N the following relationships hold:
Current frequency information is computed by
comp_freq and contained in a list
freq.
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.
Other frequencies: N,
cond_false, cond_true,
cr, dec_cor,
dec_err, dec_pos,
fa, hi, mi
# NOT RUN {
dec_neg <- 1000 * .67 # => sets dec_neg to 67% of 1000 = 670 cases.
is_freq(dec_neg) # => TRUE
is_prob(dec_neg) # => FALSE, as dec_neg is no probability (but ppod, NPV and FOR are)
# }
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