max_absnorm: The Maximum Absolute Normal Distribution

In adviksh/winfer:

Description

distribution function, quantile function and random generation for the maximum of [size] absolute value normal random variables with mean equal to [mean] and standard deviation equal to [sd].

Usage

r_max_absnorm(n, size, mean = 0, sd = 1)

p_max_absnorm(size, q, mean = 0, sd = 1, lower.tail = TRUE,
  log.p = FALSE)

q_max_absnorm(size, p, mean = 0, sd = 1)

Arguments

n	number of observations. If length(n) > 1, the length is taken to be the number required.
size	number of absolute normal variables maximized over per observation
mean	vector of means.
sd	vector of standard deviations.
q	vector of quantiles.
lower.tail	logical; if TRUE (default), probabilities are P[X ≤ x] otherwise, P[X > x].
log.p	logical; if TRUE, probabilities p are given as log(p).
p	vector of probabilities.

adviksh/winfer documentation built on Dec. 24, 2019, 7:05 p.m.