mpoint: Multivariate point mass distribution

In BayesTools: Tools for Bayesian Analyses

Multivariate point mass distribution

Description

Density, distribution function, quantile function and random generation for multivariate point distribution.

Usage

dmpoint(x, location, log = FALSE)

rmpoint(n, location)

pmpoint(q, location, lower.tail = TRUE, log.p = FALSE)

qmpoint(p, location, lower.tail = TRUE, log.p = FALSE)

Arguments

x, q	vector or matrix of quantiles.
location	vector of locations corresponding to the location of individual points. Alternatively, a matrix with rows corresponding to the location of individual samples and columns correspond to the location of individual points.
log, log.p	logical; if TRUE, probabilities p are given as log(p).
n	number of observations.
lower.tail	logical; if TRUE (default), probabilities are P[X \le x], otherwise, P[X \ge x].
p	vector of probabilities.

Value

dpoint gives the density, ppoint gives the distribution function, qpoint gives the quantile function, and rpoint generates random deviates.

Examples

# draw samples from a multivariate point distribution
rmpoint(10, location = c(0, 1))

BayesTools documentation built on July 26, 2023, 5:37 p.m.