GNGTools (version 1.0.0)

Reparameterized.normal: Reparameterized normal functions

Description

Reparameterized normal functions

Usage

dnorm.rp(x, mean = 0, tau = 1, log = FALSE)
pnorm.rp(q, mean = 0, tau = 1, lower.tail = TRUE, log.p = FALSE)
qnorm.rp(p, mean = 0, tau = 1, lower.tail = TRUE, log.p = FALSE)
rnorm.rp(n, mean = 0, tau = 1)

Value

Returns density values, cumulative probabilities, quantiles and random samples from a normal distribution.

Arguments

x

likelihood function evaluates at point x

mean

mean

tau

precision parameter

log

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

q

quantile

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

cumulative probability

n

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

Examples

dnorm.rp(x=0)
pnorm.rp(q=.1)
qnorm.rp(p=.975)
rnorm.rp(10)