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rmvt

Multivariate t Distribution.


Description

Random generation from multivariate t distribution (student distribution).

Usage

rmvt(n = 1, mu = rep(0, p), sigma = diag(p), df = Inf)

Arguments

n

number of samples.

mu

mean

sigma

a k x k positive definite matrix. If the degree ν if bigger than 2 the created covariance is

var(x) = Σ\frac{ν}{ν - 2}

for ν > 2.

df

degree of freedom ν.

Value

a n x p matrix with samples in its rows.

Examples

CVarE:::rmvt(20, c(0, 1), matrix(c(3, 1, 1, 2), 2), 3)
CVarE:::rmvt(20, sigma = matrix(c(2, 1, 1, 2), 2), df = 3)
CVarE:::rmvt(20, mu = c(3, -1, 2), df = 3)

CVarE

Conditional Variance Estimator for Sufficient Dimension Reduction

v1.1
GPL-3
Authors
Daniel Kapla [aut, cph, cre], Lukas Fertl [aut, cph], Efstathia Bura [ctb]
Initial release
2021-03-09

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