blnorm: Bernoulli-lognormal distribution

Description Usage Arguments Value See Also Examples

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

1
2
3
4
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

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

CaDENCE documentation built on Dec. 5, 2017, 9:03 a.m.