inversegaussianMLE

This function is used in <code>testYourModel</code> function for example purposes.

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

inversegaussianMLE function

<dl><dt>obs</dt>
<dd>a numeric vector of sample observations.</dd>
<dt>...</dt>
<dd>a list of additional parameters to define the likelihood.</dd></dl>

Arguments

Compute the maximum likelihood estimate of parameters in Inverse Gaussian distribution with weighted observations. — inversegaussianMLE

<dl>

<dt>obs</dt>
<dd>a numeric vector of sample observations.</dd>


<dt>...</dt>
<dd>a list of additional parameters to define the likelihood.</dd>

</dl>

inversegaussianMLE: Compute the maximum likelihood estimate of parameters in Inverse Gaussian distribution with weighted observations.

Description

Usage

Value

Arguments