blnorm: Bernoulli-lognormal distribution

In CaDENCE: Conditional Density Estimation Network Construction and Evaluation

Description

Functions implementing the Bernoulli-lognormal distribution, in which zero values occur with probability 1-prob and non-zero values follow a lognormal distribution with meanlog and sdlog parameters. dblnorm gives a probability density function (pdf), pblnorm gives the cumulative distribution function (cdf), qblnorm gives the quantile function (inverse cdf), and rblnorm is used for generating random variates.

Usage

dblnorm(x, prob, meanlog, sdlog)
pblnorm(q, prob, meanlog, sdlog)
qblnorm(p, prob, meanlog, sdlog)
rblnorm(n, prob, meanlog, sdlog)

Arguments

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

Value

dblnorm gives the pdf, pblnorm gives the cdf, qblnorm gives the inverse cdf (or quantile function), and rblnorm generates random variates.

See Also

dlnorm, bweibull, bpareto2, bgamma

Examples

  plot(rblnorm(365, prob = 0.2, meanlog = 1, sdlog = 1), type = "h")

Example output

Loading required package: pso

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