pV: Theoretical distribution for lineups under different...

In heike/vinference: Inference under the lineup protocol

Description

\lifecycle

deprecated

Usage

pV(x, K, m, scenario, type = "numeric")

Arguments

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.

Examples

pV(0:5, 5, m=3, scenario=3)

heike/vinference documentation built on Oct. 17, 2020, 7:08 a.m.