mi
is the frequency of misses
or false negatives (FN
)
in a population of N
individuals.
mi
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:
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