plindley_mix: Distribution Function of a Lindley Mixture

In matheuscastro43/finiteMix: Finite Mixture Models

Distribution Function of a Lindley Mixture

Description

Gives the distribution function value of a univariate Lindley Mixture.

Usage

plindley_mix(q, pi, beta, lower.tail = TRUE, log.p = FALSE)

Arguments

q	value or vector to apply on the distribution function.
pi	vector of mixture weights.
beta	vector of parameters.
lower.tail	logical; if TRUE (default). probabilites are P[X ≤ x], otherwise P[X > x].
log.p	logical; if FALSE (default), probabilities are expected in p, otherwise log[probabilities] are expected.

Author(s)

CASTRO, M. O.; MONTALVO, G. S. A.

Examples

## Distribution Function

## A value
plindley_mix(4, pi = c(0.6, 0.4), beta = c(1, 3))

## A vector
plindley_mix(c(4, 7, 11), pi = c(0.6, 0.4), beta = c(1, 3))


## Survival Function

## A value
plindley_mix(2, pi = c(0.6, 0.4), beta = c(1, 3), lower.tail = FALSE)

## A vector
plindley_mix(c(1, 2, 6), pi = c(0.6, 0.4), beta = c(1, 3), lower.tail = FALSE)

matheuscastro43/finiteMix documentation built on March 30, 2022, 12:49 p.m.