Reparameterized.normal: Reparameterized normal functions

In GNGTools: Tools for Go/No-Go Decision-Making Framework

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)

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.

Value

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

Examples

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

GNGTools documentation built on Dec. 16, 2022, 5:09 p.m.