See stats::Weibull
Arguments
- shape
 Scalar shape parameter, or
NULLas a placeholder.- scale
 Scalar scale parameter, or
NULLas a placeholder.
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)
)