bweibull: Bernoulli-Weibull distribution

In CaDENCE: Conditional Density Estimation Network Construction and Evaluation

Description

Functions implementing the Bernoulli-Weibull distribution, in which zero values occur with probability 1-prob and non-zero values follow a Weibull distribution with scale and shape parameters. dbweibull gives a probability density function (pdf), pbweibull gives the cumulative distribution function (cdf), qbweibull gives the quantile function (inverse cdf), and rbweibull is used for generating random variates.

Usage

dbweibull(x, prob, scale, shape)
pbweibull(q, prob, scale, shape)
qbweibull(p, prob, scale, shape)
rbweibull(n, prob, scale, shape)

Arguments

x, q	vector of quantiles.
p	vector of cumulative probabilities.
n	number of random samples.
prob	probability of a non-zero value.
scale	scale parameter of the weibull distribution.
shape	shape parameter of the weibull distribution.

Value

dbweibull gives the pdf, pbweibull gives the cdf, qbweibull gives the inverse cdf (or quantile function), and rbweibull generates random variates.

See Also

dweibull, bgamma, bpareto2, blnorm

Examples

  plot(rbweibull(365, prob = 0.2, scale = 1, shape = 1), type = "h")

Example output

Loading required package: pso

CaDENCE documentation built on May 2, 2019, 6:05 a.m.