RTMBdist (version 0.1.0)

vm: von Mises distribution

Description

Density, distribution function, and random generation for the von Mises distribution.

Usage

dvm(x, mu = 0, kappa = 1, log = FALSE)
pvm(q, mu = 0, kappa = 1, from = NULL, tol = 1e-20)
rvm(n, mu = 0, kappa = 1, wrap = TRUE)

Value

dvm gives the density, pvm gives the distribution function, and rvm generates random deviates.

Arguments

x, q

vector of angles measured in radians at which to evaluate the density function.

mu

mean direction of the distribution measured in radians.

kappa

non-negative numeric value for the concentration parameter of the distribution.

log

logical; if TRUE, densities are returned on the log scale.

from

value from which the integration for CDF starts. If NULL, is set to mu - pi.

tol

the precision in evaluating the distribution function

n

number of random values to return.

wrap

logical; if TRUE, generated angles are wrapped to the interval from -pi to pi.

Details

This implementation of dvm allows for automatic differentiation with RTMB. rvm and pvm are simply wrappers of the corresponding functions from circular.

Examples

set.seed(1)
x <- rvm(10, 0, 1)
d <- dvm(x, 0, 1)
p <- pvm(x, 0, 1)