LQNO: LQNO distribution

In lpantano/scounts: Analyze small RNA-seq count data

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

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.

Details

Methods adapted from:

Argyropoulos, Christos, et al. "Modeling bias and variation in the stochastic processes of small RNA sequencing." Nucleic Acids Research (2017).

Value

LQNO function

Author(s)

Christos Argyropoulos

lpantano/scounts documentation built on May 27, 2019, 2:01 a.m.