ppod defines the proportion (baseline probability or rate) of
a decision being
positive (but not necessarily accurate/correct).
An object of class
numeric of length 1.
Understanding or obtaining the proportion of positive decisions
ppod is the (non-conditional) probability:
ppod = p(decision = positive)
or the base rate (or baseline probability) of a decision being positive (but not necessarily accurate/correct).
ppod classifies a population of
by decision (
ppod = dec_pos/N).
ppod is the "by decision" counterpart to
(which adopts a "by condition" perspective).
base rate of positive decisions (
proportion predicted or diagnosed,
rate of decision
= positive cases
ppod = dec_pos/N = (hi + fa)/(hi + mi + fa + cr)
ppod is a feature of the decision process
or diagnostic procedure.
Consult Wikipedia for additional information.
prob contains current probability information;
comp_prob computes current probability information;
num contains basic numeric parameters;
init_num initializes basic numeric parameters;
freq contains current frequency information;
comp_freq computes current frequency information;
is_prob verifies probabilities.
ppod <- .50 # sets a rate of positive decisions of 50% ppod <- 50/100 # (decision = TRUE) for 50 out of 100 individuals is_prob(ppod) # TRUE#>  TRUE