prob is a list of named numeric variables
containing 3 essential (1 non-conditional and 2 conditional) probabilities
and 7 derived (1 non-conditional and 6 conditional) probabilities:
probAn object of class list of length 10.
the condition's prevalence prev
(i.e., the probability of the condition being TRUE):
prev = cond.true/N.
the decision's sensitivity sens
(i.e., the conditional probability of a positive decision
provided that the condition is TRUE).
the decision's miss rate mirt
(i.e., the conditional probability of a negative decision
provided that the condition is TRUE).
the decision's specificity spec
(i.e., the conditional probability
of a negative decision provided that the condition is FALSE).
the decision's false alarm rate fart
(i.e., the conditional probability
of a positive decision provided that the condition is FALSE).
the proportion (baseline probability or rate)
of the decision being positive ppod
(but not necessarily true):
ppod = dec.pos/N.
the decision's positive predictive value PPV
(i.e., the conditional probability of the condition being TRUE
provided that the decision is positive).
the decision's false detection (or false discovery) rate FDR
(i.e., the conditional probability of the condition being FALSE
provided that the decision is positive).
the decision's negative predictive value NPV
(i.e., the conditional probability of the condition being FALSE
provided that the decision is negative).
the decision's false omission rate FOR
(i.e., the conditional probability of the condition being TRUE
provided that the decision is negative).
These probabilities are computed from basic probabilities
(contained in num) and computed by using
comp_prob.
The list prob is the probability counterpart
to the list containing frequency information freq.
Note that inputs of extreme probabilities (of 0 or 1)
may yield unexpected values (e.g., an NPV
value of NaN when is_extreme_prob_set
evaluates to TRUE).
num contains basic numeric parameters;
init_num initializes basic numeric parameters;
txt contains current text information;
init_txt initializes text information;
pal contains current color information;
init_pal initializes color information;
freq contains current frequency information;
comp_freq computes current frequency information;
prob contains current probability information;
comp_prob computes current probability information.
Other lists containing current scenario information: accu,
freq, num, pal,
txt
# NOT RUN {
prob <- comp_prob() # => initialize prob to default parameters
prob # => show current values
length(prob) # => 8
# }
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