Mixture Distributions — mix • distplyr

Create a mixture distribution.

Usage

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

is_mix(object)

is.mix(object)

Arguments

...: Distribution objects, or 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)
#> [1] "continuous"

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)
#> [1] "mixed"