gammaMLE

Estimate the MLE of shape and scale parameters of the Gamma distribution using the
Newton-Raphson method on the profile log-likelihood to estimate the shape parameter.

Routines that allow the user to run goodness of fit tests based on empirical distribution functions for formal model evaluation in a general likelihood model. In addition, functions are provided to test a sample against Normal or Gamma distributions, validate the normality assumptions in a linear model, and examine the appropriateness of a Gamma distribution in generalized linear models with various link functions. Michael Arthur Stephens (1976) <http://www.jstor.org/stable/2958206>.

Payman Nickchi

gofedf

Goodness of Fit Tests Based on Empirical Distribution Functions

Richard Lockhart

gammaMLE function

<dl><dt>x</dt>
<dd>a numeric vector of length n</dd>
<dt>ur</dt>
<dd>logical. If <code>TRUE</code> the rate parameter is returned. Otherwise the scale is returned.</dd></dl>

Arguments

Compute maximum likelihood estimate of shape and scale parameter in Gamma distribution. — gammaMLE

<dl>

<dt>x</dt>
<dd>a numeric vector of length n</dd>


<dt>ur</dt>
<dd>logical. If <code>TRUE</code> the rate parameter is returned. Otherwise the scale is returned.</dd>

</dl>

gammaMLE: Compute maximum likelihood estimate of shape and scale parameter in Gamma distribution.

Description

Usage

Value

Arguments