Skip to contents

Distribution functions for the maximum of (m-1) independent standard normal filler signals, where m is the lineup size (suspect + fillers).

Usage

dmax_filler(x, lineup_size, log = FALSE)

pmax_filler(q, lineup_size, lower.tail = TRUE, log.p = FALSE)

qmax_filler(p, lineup_size, lower.tail = TRUE, log.p = FALSE)

rmax_filler(n, lineup_size)

Arguments

x, q

Numeric vector of quantiles.

lineup_size

Lineup size (suspect + fillers), must be >= 2.

log, log.p

Logical. Return log-density / log-probability.

lower.tail

Logical. If TRUE (default), returns P[X <= q].

p

Numeric vector of probabilities.

n

Number of random draws.

Value

Density, distribution, quantile, or random draws.

Examples

dmax_filler(0, lineup_size = 6)
#> [1] 0.1246695
pmax_filler(0, lineup_size = 6)
#> [1] 0.03125
qmax_filler(0.5, lineup_size = 6)
#> [1] 1.128998
rmax_filler(5, lineup_size = 6)
#> [1] 1.141755 1.077630 1.357769 0.962494 1.592569