(<a rd-options="" href="/link/Distribution?package=distr6&version=1.5.2" data-mini-rdoc="distr6::Distribution">Distribution</a>)

object

<code>(numeric())</code> 
Points to evaluate the probability density function of the distribution. Arguments do not need
to be named. The length of each argument corresponds to the number of points to evaluate,
the number of arguments corresponds to the number of variables in the distribution.
See examples.

<code>logical(1)</code> 
If <code>TRUE</code> returns log-pdf. Default is <code>FALSE</code>.

<code>logical(1)</code> 
If <code>TRUE</code> (default) simplifies the pdf if possible to a <code>numeric</code>, otherwise returns a
<a rd-options="=data.table" href="/link/data.table%3A%3Adata.table?package=distr6&version=1.5.2&to=%3Ddata.table" data-mini-rdoc="=data.table::data.table::data.table">data.table::data.table</a>.

simplify

<a rd-options="" href="/link/array?package=distr6&version=1.5.2" data-mini-rdoc="distr6::array">array</a> 
Alternative method to specify points to evaluate. If univariate then rows correspond with number
of points to evaluate and columns correspond with number of variables to evaluate. In the special
case of <a rd-options="" href="/link/VectorDistribution?package=distr6&version=1.5.2" data-mini-rdoc="distr6::VectorDistribution">VectorDistribution</a>s of multivariate distributions, then the third dimension corresponds
to the distribution in the vector to evaluate.

data

See <a rd-options="" href="/link/Distribution?package=distr6&version=1.5.2" data-mini-rdoc="distr6::Distribution">Distribution</a><code>$pdf</code>

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

pdf function

(<a rd-options='' href='Distribution'>Distribution</a>)

<code>logical(1)</code> 
If <code>TRUE</code> (default) simplifies the pdf if possible to a <code>numeric</code>, otherwise returns a
<a rd-options='=data.table' href='data.table::data.table'>data.table::data.table</a>.

<a rd-options='' href='array'>array</a> 
Alternative method to specify points to evaluate. If univariate then rows correspond with number
of points to evaluate and columns correspond with number of variables to evaluate. In the special
case of <a rd-options='' href='VectorDistribution'>VectorDistribution</a>s of multivariate distributions, then the third dimension corresponds
to the distribution in the vector to evaluate.

See <a rd-options='' href='Distribution'>Distribution</a><code>$pdf</code>

pdf: Probability Density Function

Description

Usage

Arguments

Value