Convert per-person expected value of information to the population expected value of information, given a discount rate over some time horizon.
pop_voi(voi, pop, time, dis = 0.035)
A vector of population VoI estimates.
Vector of estimates of any per-person value of information
measure, e.g. the evsi
column of the data frame returned by
evsi
or the correspondingly-named columns of the
data frames returned by evppi
or evpi
.
Size of the population who would be affected by the decision.
Time horizon over which discounting will be applied.
Discount rate used when converting per-person to population EVSI.
Calculated as voi*pop/dis*(1 - exp(-dis*time))
, or voi*pop
if the discount rate is zero. This is a continuous-time variant
of the typical discrete-time discounting formula.
Any arguments may be supplied as vectors, in which case, all arguments are replicated to the length of the longest argument.