mix: Mixture Distributions

In vincenzocoia/distplyr: Manipulation of Univariate Distributions

Mixture Distributions

Description

Create a mixture distribution.

Usage

mix(..., weights = 1, na.rm = FALSE)

is_mix(object)

is.mix(object)

Arguments

...	Distribution objects, possibly also lists of distributions.
weights	Vector of weights corresponding to the distributions; or, single numeric for equal weights.
na.rm	Remove NA distributions and NA weights? TRUE if yes; default is FALSE.
object	Object to be tested

Value

A mixture distribution – an empty distribution if any weights are NA and na.rm = FALSE, the default.

Examples

a <- distionary::dst_norm(0, 1)
b <- distionary::dst_norm(5, 2)
m1 <- mix(a, b, weights = c(1, 4))
#plot(m1)
distionary::variable(m1)

c <- distionary::dst_empirical(0:6)
m2 <- mix(a, b, c, weights = c(0.2, 0.5, 0.3))
#plot(m2, n = 1001)
distionary::variable(m2)

vincenzocoia/distplyr documentation built on March 5, 2024, 9:45 p.m.