dV: Theoretical density for lineups under different scenarios
In heike/vinference: Inference under the lineup protocol

\lifecycle

deprecated

1	dV(x, K, m, scenario, type = "numeric")

`x`	vector of the number of picks of the data plot out of K evaluations
`K`	number of evaluations
`m`	size of the lineup
`scenario`	which scenario should be used? 1, 2, or 3?
`type`	one of "mpfr" or "numeric". Should the result be in arbitrary numeric length or be a numeric? Internally the Rmpfr package is used to get maximal precision.

dV(0:5, 5, m=2, scenario=3)
## compare to
dVsim(0:5, 5, m=2, scenario=3)

require(ggplot2)
## probabilities can be computed without numeric loss for K=50:
K <- 50
print(qplot(0:K, dV(0:K, K, m=20, scenario=3)));
print(sum(dV(0:K, K, m=20, scenario=3)));