tlnorm: Truncated Lognormal Functions

In TruncatedDistributions: Use Truncated Distribution functions

Description

pdf, cdf, inverse cdf, and random deviates of the truncated lognormal distribution.

Usage

rtlnorm(n, meanlog=0, sdlog=1, a=0, b=Inf)
dtlnorm(x, meanlog=0, sdlog=1, a=0, b=Inf)
ptlnorm(q, meanlog=0, sdlog=1, a=0, b=Inf)
qtlnorm(p, meanlog=0, sdlog=1, a=0, b=Inf)

Arguments

x,q	vector of quantiles.
p	vector of probabilities.
n	number of observations. If length(n) > 1, the length is taken to be the number required.
meanlog	vector of means on the natural log scale.
sdlog	vector of standard deviations on the natural log scale.
a	vector of lower truncation limits
b	vector of upper truncation limits

Value

dtlnorm gives the density, ptlnorm gives the distribution function, qtlnorm gives the quantile function, and rtlnorm generates random deviates.

Author(s)

Rob Carnell

Examples

  rtlnorm(5, 1, 2, 0.5, 3.0)
  dtlnorm(seq(0, 4, by=0.5), 1, 2, 0.5, 3.0)
  ptlnorm(seq(0, 4, by=0.5), 1, 2, 0.5, 3.0)
  qtlnorm(seq(0, 1, by=0.1), 1, 2, 0.5, 3.0)

TruncatedDistributions documentation built on May 2, 2019, 4:52 p.m.