dist_normal: Normal distribution

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

Normal distribution

Description

See stats::Normal.

Usage

dist_normal(mean = NULL, sd = NULL)

Arguments

mean	Scalar mean parameter, or NULL as a placeholder.
sd	Scalar standard deviation parameter, or NULL as a placeholder.

Details

Both parameters can be overridden with with_params = list(mean = ..., sd = ...).

Value

A NormalDistribution object.

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_pareto(), dist_poisson(), dist_translate(), dist_trunc(), dist_uniform(), dist_weibull()

Examples

mu <- 0
sigma <- 1

d_norm <- dist_normal(mean = mu, sd = sigma)
x <- d_norm$sample(20)
d_emp <- dist_empirical(x)

plot_distributions(
  empirical = d_emp,
  theoretical = d_norm,
  estimated = d_norm,
  with_params = list(
    estimated = list(mean = mean(x), sd = sd(x))
  ),
  .x = seq(-3, 3, length.out = 100)
)

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