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