pgamma_mix: Distribution Function of a Gamma Mixture

In matheuscastro43/finiteMix: Finite Mixture Models

Distribution Function of a Gamma Mixture

Description

Gives the distribution function value of a univariate Gamma Mixture.

Usage

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

Arguments

q	value or vector to apply on the distribution function.
pi	vector of mixture weights.
alpha	shape parameters.
beta	scale 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
pgamma_mix(12, pi = c(0.6, 0.4), alpha = c(2, 4), beta = c(1, 3))

## A vector
pgamma_mix(c(-100, 10.96684, 100), pi = c(0.6, 0.4), alpha = c(2, 4), beta = c(1, 3))


## Survival Function

## A value
pgamma_mix(12, pi = c(0.6, 0.4), alpha = c(2, 4), beta = c(1, 3), lower.tail = FALSE)

## A vector
pgamma_mix(c(5, 10, 16), pi = c(0.6, 0.4), alpha = c(2, 4), beta = c(1, 3),
          lower.tail = FALSE)

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