Distribution dispatchers for the six reliability families — distribution

Unified density, random-number, and distribution-function interfaces for the six positive-support families supported by the package: Weibull, Frechet, Gamma, Inverse-Gamma, Log-Normal, and Log-Logistic. The two-parameter vector theta = c(par1, par2) is interpreted as (shape, scale) for all families except Log-Normal, where it is (meanlog, sdlog).

Usage

ldist(x, dist, theta, log = TRUE)

rdist(n, dist, theta)

pdist(q, dist, theta)

Arguments

x, q: Numeric vector of quantiles (positive support).
dist: Character; one of "Weibull", "Frechet", "Gamma", "InvGamma", "LogNormal", "LogLogistic".
theta: Numeric length-2 parameter vector (see Details).
log: Logical; if TRUE (default) ldist returns log-density.
n: Integer; number of random values to draw.

Value

ldist returns the (log-)density, rdist a random sample of length n, and pdist the cumulative distribution function, each evaluated at the supplied points.

Examples

set.seed(1)
x <- rdist(100, "Weibull", c(2, 1))
head(ldist(x, "Weibull", c(2, 1)))
#> [1] -0.4918365 -0.3011502 -0.1564607 -0.5733714 -0.6725822 -0.5307606
pdist(1, "Gamma", c(3, 0.5))
#> [1] 0.3233236