suff_stat.LogNormal

Compute the sufficient statistics for a Log-normal distribution from 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.LogNormal function

<dl><dt>d</dt>
<dd>A <code>LogNormal</code> object created by a call to <code>LogNormal()</code>.</dd>
<dt>x</dt>
<dd>A vector of data.</dd>
<dt>...</dt>
<dd>Unused.</dd></dl>

Arguments

Compute the sufficient statistics for a Log-normal distribution from data — suff_stat.LogNormal

<dl>

<dt>d</dt>
<dd>A <code>LogNormal</code> object created by a call to <code>LogNormal()</code>.</dd>


<dt>x</dt>
<dd>A vector of data.</dd>


<dt>...</dt>
<dd>Unused.</dd>

</dl>

Compute the sufficient statistics for a Log-normal distribution from data

suff_stat.LogNormal: Compute the sufficient statistics for a Log-normal distribution from data

Description

Usage

Value

Arguments