rvMF: Simulation from the von Mises-Fisher distribution

In ahoundetoungan/PartialNetwork: Estimating Peer Effects Using Partial Network Data

Simulation from the von Mises-Fisher distribution

Description

Random generation for the von Mises-Fisher distribution of dimension p with location parameter mu and intensity parameter eta (see Wood, 1994; Mardia, 2014).

Usage

rvMF(size, theta)

Arguments

size	is the number of simulations.
theta	is the parameter as eta*mu.

Value

A matrix whose each row is a random draw from the distribution.

Examples

# Draw 10 vectors from vMF with parameters eta = 1 and mu = c(1,0)
rvMF(10,c(1,0))

# Draw 10 vectors from vMF with parameters eta = sqrt(14) and mu proportional to (2,1,3)
rvMF(10,c(2,1,3))

# Draw from the vMF distribution with mean direction proportional to c(1, -1)
# and concentration parameter 3
rvMF(10, 3 * c(1, -1) / sqrt(2))

ahoundetoungan/PartialNetwork documentation built on March 15, 2024, 4:35 p.m.