ppois_mix: Distribution Function of a Poisson Mixture

In matheuscastro43/finiteMix: Finite Mixture Models

Distribution Function of a Poisson Mixture

Description

Gives the distribution function value of a univariate Poisson Mixture.

Usage

ppois_mix(q, pi, lambda, lower.tail = TRUE, log.p = FALSE)

Arguments

q	value or vector to apply on the distribution function.
pi	vector of mixture weights.
lambda	vector of (non-negative) 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
ppois_mix(2, pi = c(0.1, 0.9), lambda = c(1, 30))

## A vector
ppois_mix(c(0, 17.6336, Inf), pi = c(0.1, 0.9), lambda = c(1, 30))


## Survival Function

## A value
ppois_mix(2, pi = c(0.8, 0.2), lambda = c(1, 30), lower.tail = FALSE)

## A vector
ppois_mix(c(0, 10, 15), pi = c(0.1, 0.9), lambda = c(1, 30), lower.tail = FALSE)

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