Binomial Distribution
See stats::Binomial
dist_binomial(size = NULL, prob = NULL)
size
: Number of trials parameter (integer), or NULL
as a placeholder.prob
: Success probability parameter, or NULL
as a placeholder.A BinomialDistribution
object.
Both parameters can be overridden with with_params = list(size = ..., prob = ...)
.
d_binom <- dist_binomial(size = 10, prob = 0.5) x <- d_binom$sample(100) d_emp <- dist_empirical(x) plot_distributions( empirical = d_emp, theoretical = d_binom, estimated = d_binom, with_params = list( estimated = list( size = max(x), prob = mean(x) / max(x) ) ), .x = 0:max(x) )
Other Distributions: Distribution
, dist_bdegp()
, dist_beta()
, 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()
, dist_weibull()
Useful links