dist_weibull: Weibull Distribution

In reservr: Fit Distributions and Neural Networks to Censored and Truncated Data

Weibull Distribution

Description

See stats::Weibull

Usage

dist_weibull(shape = NULL, scale = NULL)

Arguments

shape	Scalar shape parameter, or NULL as a placeholder.
scale	Scalar scale parameter, or NULL as a placeholder.

Details

Both parameters can be overridden with with_params = list(shape = ..., scale = ...).

Value

A WeibullDistribution object.

See Also

Other Distributions: Distribution, dist_bdegp(), dist_beta(), dist_binomial(), dist_blended(), dist_dirac(), dist_discrete(), dist_empirical(), dist_erlangmix(), dist_exponential(), dist_gamma(), dist_genpareto(), dist_lognormal(), dist_mixture(), dist_negbinomial(), dist_normal(), dist_pareto(), dist_poisson(), dist_translate(), dist_trunc(), dist_uniform()

Examples

d_weibull <- dist_weibull(shape = 3, scale = 1)
x <- d_weibull$sample(100)
d_emp <- dist_empirical(x)

plot_distributions(
  empirical = d_emp,
  theoretical = d_weibull,
  estimated = d_weibull,
  with_params = list(
    estimated = inflate_params(
      fitdistrplus::fitdist(x, distr = "weibull")$estimate
    )
  ),
  .x = seq(0, 2, length.out = 100)
)

reservr documentation built on June 24, 2024, 5:10 p.m.