Description Usage Format Details See Also
mi
is the frequency of misses
or false negatives (FN
)
in a population of N
individuals.
1 |
An object of class numeric
of length 1.
Definition:
mi
is the frequency of individuals for which
Condition = TRUE
and Decision = FALSE
(negative).
mi
is a measure of incorrect classifications
(type-II errors), not an individual case.
Relationships:
to probabilities:
The frequency mi
depends on the miss rate mirt
(aka. false negative rate, FNR)
and is conditional on the prevalence prev
.
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)
mirt
is the probability or rate of misses;
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;
is_freq
verifies frequencies.
Other essential parameters: cr
,
fa
, hi
, prev
,
sens
, spec
Other frequencies: N
,
cond_false
, cond_true
,
cr
, dec_cor
,
dec_err
, dec_neg
,
dec_pos
, fa
, hi
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