comp_prev computes a condition's prevalence value prev
(or baseline probability) from 4 essential frequencies
(hi, mi, fa, cr).
comp_prev(hi = freq$hi, mi = freq$mi, fa = freq$fa, cr = freq$cr)The number of hits hi (or true positives).
The number of misses mi (or false negatives).
The number of false alarms fa (or false positives).
The number of correct rejections cr (or true negatives).
A condition's prevalence value prev is
the probability of the condition being TRUE.
The probability prev can be computed from frequencies
as the the ratio of
cond.true (i.e., hi + mi)
divided by
N (i.e., hi + mi + fa + cr):
prev = cond.true/N = (hi + mi)/(hi + mi + fa + cr)
num contains basic numeric parameters;
init_num initializes basic numeric parameters;
prob contains current probability information;
comp_prob computes current probability information;
freq contains current frequency information;
comp_freq computes current frequency information;
is_prob verifies probability inputs;
is_freq verifies frequency inputs.