tlnorm: Truncated Lognormal Functions In TruncatedDistributions: Use Truncated Distribution functions

Description

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

Usage

 ```1 2 3 4``` ```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.

Rob Carnell

Examples

 ```1 2 3 4``` ``` 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.