dist_exponential: Exponential distribution

In reservr: Fit Distributions and Neural Networks to Censored and Truncated Data

Exponential distribution

Description

See stats::Exponential.

Usage

dist_exponential(rate = NULL)

Arguments

rate	Scalar rate parameter, or NULL as a placeholder.

Details

The parameter can be overridden with with_params = list(rate = ...).

Value

An ExponentialDistribution object.

See Also

Other Distributions: Distribution, dist_bdegp(), dist_beta(), dist_binomial(), dist_blended(), dist_dirac(), dist_discrete(), dist_empirical(), dist_erlangmix(), dist_gamma(), dist_genpareto(), dist_lognormal(), dist_mixture(), dist_negbinomial(), dist_normal(), dist_pareto(), dist_poisson(), dist_translate(), dist_trunc(), dist_uniform(), dist_weibull()

Examples

rate <- 1
d_exp <- dist_exponential()
x <- d_exp$sample(20, with_params = list(rate = rate))
d_emp <- dist_empirical(x, positive = TRUE)

plot_distributions(
  empirical = d_emp,
  theoretical = d_exp,
  estimated = d_exp,
  with_params = list(
    theoretical = list(rate = rate),
    estimated = list(rate = 1 / mean(x))
  ),
  .x = seq(1e-4, 5, length.out = 100)
)

reservr documentation built on June 24, 2024, 5:10 p.m.