tweibull: Truncated weibull distribution functions

In bertcarnell/truncateddist: 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

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
x, q	vector of quantiles.
p	vector of probabilities.

Value

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

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)

bertcarnell/truncateddist documentation built on May 11, 2021, 11:07 a.m.