suff_stat

Generic function for computing the sufficient statistics of
a distribution based on empirical data.

Tools to create and manipulate probability distributions
using S3.  Generics pdf(), cdf(), quantile(), and random() provide
replacements for base R's d/p/q/r style functions.  Functions and
arguments have been named carefully to minimize confusion for students
in intro stats courses. The documentation for each distribution
contains detailed mathematical notes.

Alex Hayes

distributions3

Probability Distributions as S3 Objects

Ralph Moller-Trane

Emil Hvitfeldt

Daniel Jordan

Paul Northrop

Moritz N. Lang

Achim Zeileis

Bruna Wundervald

Alessandro Gasparini

suff_stat function

<dl><dt>d</dt>
<dd>An object. The package provides methods for distribution
objects such as those from <code><a href="/link/Normal()?package=distributions3&version=0.2.2" data-mini-rdoc="distributions3::Normal()">Normal()</a></code> or <code><a href="/link/Binomial()?package=distributions3&version=0.2.2" data-mini-rdoc="distributions3::Binomial()">Binomial()</a></code> etc.</dd>
<dt>x</dt>
<dd>A vector of data to compute the likelihood.</dd>
<dt>...</dt>
<dd>Arguments passed to methods. Unevaluated arguments will generate a warning to
catch mispellings or other possible errors.</dd></dl>

Arguments

Compute the sufficient statistics of a distribution from data — suff_stat

<dl>

<dt>d</dt>
<dd>An object. The package provides methods for distribution
objects such as those from <code><a href='https://rdrr.io/r/stats/Normal.html'>Normal()</a></code> or <code><a href='https://rdrr.io/r/stats/Binomial.html'>Binomial()</a></code> etc.</dd>


<dt>x</dt>
<dd>A vector of data to compute the likelihood.</dd>


<dt>...</dt>
<dd>Arguments passed to methods. Unevaluated arguments will generate a warning to
catch mispellings or other possible errors.</dd>

</dl>

Compute the sufficient statistics of a distribution from data

suff_stat: Compute the sufficient statistics of a distribution from data

Description

Usage

Value

Arguments

Examples