plindley: Distribution Function of a Generalized Distribution

In matheuscastro43/finiteMix: Finite Mixture Models

Distribution Function of a Generalized Distribution

Description

Gives the distribution function value of a univariate Lindley Distribution.

Usage

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

Arguments

q	value or vector to apply on the distribution function.
beta	value of parameter.
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(16, beta = 4)

## A vector
plindley(c(8, 10, 12), beta = 4)


## Survival Function

## A value
plindley(8, beta = 4, lower.tail = FALSE)

## A vector
plindley(c(5, 8, 10), beta = 4, lower.tail = FALSE)

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