Weibull Distribution
See stats::Weibull
dist_weibull(shape = NULL, scale = NULL)
shape
: Scalar shape parameter, or NULL
as a placeholder.scale
: Scalar scale parameter, or NULL
as a placeholder.A WeibullDistribution
object.
Both parameters can be overridden with with_params = list(shape = ..., scale = ...)
.
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) )
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()
Useful links