Convert per-person expected value of information to the population expected value of information, given a discount rate over some time horizon.

## Arguments

- voi
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`

.- pop
Size of the population who would be affected by the decision.

- time
Time horizon over which discounting will be applied.

- dis
Discount rate used when converting per-person to population EVSI.

## Details

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.