tweibull: Truncated Weibull Functions

In TruncatedDistributions: Use Truncated Distribution functions

Description

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

Usage

rtweibull(n, shape, scale, a=0, b=Inf)
dtweibull(x, shape, scale, a=0, b=Inf)
ptweibull(q, shape, scale, a=0, b=Inf)
qtweibull(p, shape, scale, 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.
shape	vector of shape parameters.
scale	vector of scale parameters.
a	vector of lower truncation limits
b	vector of upper truncation limits

Value

dtweibull gives the density, ptweibull gives the distribution function, qtweibull gives the quantile function, and rtweibull generates random deviates.

Author(s)

Rob Carnell

Examples

  rtweibull(5, 1, scale=2, a=0.5, b=3.0)
  dtweibull(seq(0, 4, by=0.5), 1, scale=2, a=0.5, b=3.0)
  ptweibull(seq(0, 4, by=0.5), 1, scale=2, a=0.5, b=3.0)
  qtweibull(seq(0, 1, by=0.1), 1, scale=2, a=0.5, b=3.0)

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