Gamma distribution
See stats::GammaDist .
dist_gamma(shape = NULL, rate = NULL)
shape
: Scalar shape parameter, or NULL
as a placeholder.rate
: Scalar rate parameter, or NULL
as a placeholder.A GammaDistribution
object.
Both parameters can be overridden with with_params = list(shape = ..., rate = ...)
.
alpha <- 2 beta <- 2 d_gamma <- dist_gamma(shape = alpha, rate = beta) x <- d_gamma$sample(100) d_emp <- dist_empirical(x, positive = TRUE) plot_distributions( empirical = d_emp, theoretical = d_gamma, estimated = d_gamma, with_params = list( estimated = inflate_params( fitdistrplus::fitdist(x, distr = "gamma")$estimate ) ), .x = seq(1e-3, max(x), 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_genpareto()
, dist_lognormal()
, dist_mixture()
, dist_negbinomial()
, dist_normal()
, dist_pareto()
, dist_poisson()
, dist_translate()
, dist_trunc()
, dist_uniform()
, dist_weibull()
Useful links