simulateEmpiricalDistribution

EmpiricalDist

Number of samples to generate. See Details.

Numeric passed to <code>set.seed</code>. See Details.

seed

Function to sample <a rd-options="" href="/link/Empirical?package=distr6&version=1.6.9" data-mini-rdoc="distr6::Empirical">Empirical</a> Distributions without replacement, as
opposed to the <code>rand</code> method which samples with replacement.

An R6 object oriented distributions package. Unified
interface for 42 probability distributions and 11 kernels including
functionality for multiple scientific types. Additionally
functionality for composite distributions and numerical imputation.
Design patterns including wrappers and decorators are described in
Gamma et al. (1994, ISBN:0-201-63361-2). For quick reference of
probability distributions including d/p/q/r functions and results we
refer to McLaughlin, M. P. (2001). Additionally Devroye (1986,
ISBN:0-387-96305-7) for sampling the Dirichlet distribution, Gentle
(2009) <doi:10.1007/978-0-387-98144-4> for sampling the Multivariate
Normal distribution and Michael et al. (1976) <doi:10.2307/2683801>
for sampling the Wald distribution.

Raphael Sonabend

distr6

The Complete R6 Probability Distributions Interface

Franz Kiraly

Peter Ruckdeschel

Matthias Kohl

Nurul Ain Toha

Shen Chen

Jordan Deenichin

Chengyang Gao

Chloe Zhaoyuan Gu

Yunjie He

Xiaowen Huang

Shuhan Liu

Runlong Yu

Chijing Zeng

Qian Zhou

simulateEmpiricalDistribution function

Function to sample <a rd-options='' href='Empirical'>Empirical</a> Distributions without replacement, as
opposed to the <code>rand</code> method which samples with replacement.

Sample Empirical Distribution Without Replacement — simulateEmpiricalDistribution

Sample Empirical Distribution Without Replacement

simulateEmpiricalDistribution: Sample Empirical Distribution Without Replacement

Description

Usage

Arguments

Value

Details