gt {JMbayes}

The Generalized Student's t Distribution

Description

Density, distribution function, quantile function and random generation for the generalized Student's t distribution.

Usage

dgt(x, mu = 0, sigma = 1, df = stop("no df arg"), log = FALSE)

pgt(q, mu = 0, sigma = 1, df = stop("no df arg")) 

qgt(p, mu = 0, sigma = 1, df = stop("no df arg"))

rgt(n, mu = 0, sigma = 1, df = stop("no df arg"))

Arguments

x, q

vector of quantiles.

p

vector of probabilities.

n

a numeric scalar denoting the number of observations.

mu

a vector of means.

sigma

a vector of standard deviations.

log

logical; if TRUE the density is computed in the log scale.

df

a numeric scalar denoting the degrees of freedom.

Value

dgt gives the density, pgt gives the distribution function, qgt gives the quantile function, and rgt generates random deviates.

Author(s)

Dimitris Rizopoulos [e-mail]

Examples

## Not run: 
x <- rnorm(10, mean = 10, sd = 3)
dgt(x, mu = 10, sigma = 3, df = 4)
rgt(10, mu = 10, sigma = 3, df = 4)

## End(Not run)