rmvtnorm_df: Simulate Data From the Normal or t-Distributions

In jrnold/rubbish: Miscellaneous functions

Description

Simulate data from normal or Student t-distributions.

Usage

rmvtnorm_df(n, loc = 0, scale = rep(1, length(loc)),
  R = diag(length(loc)), df = Inf)

Arguments

n	Number of simulations to draw.
loc	A vector of locations.
scale	A vector of standard deviations of the scale matrix.
R	A correlation matrix.
df	The degrees of freedom. If Inf, then the data are simulated from a normal distribution.

Details

This function is a wrapper around rmvt and rmvnorm functions which returns a data frame instead of a matrix.

Value

A tibble with length(loc) columns and n rows.

jrnold/rubbish documentation built on May 20, 2019, 2:05 a.m.