LQNO: LQNO distribution

Description Usage Arguments

View source: R/LQNO.R

Description

Linear quadratic family that assumes the following relation for the *variance* of the normal distribution Var = mu*(1+s*mu). regression on mu and on the sigma (log and identity links)

Usage

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dLQNO(x, mu = 1, sigma = 1, log = FALSE)
pLQNO(q, mu = 1, sigma = 1, lower.tail = TRUE, log.p = FALSE)
qLQNO(p, mu = 1, sigma = 1, lower.tail = TRUE, log.p = FALSE)
rLQNO(n, mu = 1, sigma = 1)
LQNO(mu.link="log", sigma.link="log")

dLQNO(x, mu = 1, sigma = 1, log = FALSE)

pLQNO(q, mu = 1, sigma = 1, lower.tail = TRUE, log.p = FALSE)

qLQNO(p, mu = 1, sigma = 1, lower.tail = TRUE, log.p = FALSE)

rLQNO(n, mu = 1, sigma = 1)

Arguments

mu.link

type of transformation

sigma.link

type of transformation

x

vector of quantiles.

mu

vector of means.

sigma

vector of standard deviations.

log

logical; if TRUE, probabilities p are given as log(p).

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.

n

number of observations. If length(n) > 1, the length is taken to be the number required.


Bioconductor-mirror/isomiRs documentation built on July 28, 2017, 5:22 a.m.