glmScorePIT

Compute score function for a generalized linear model with Gamma response.

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

glmScorePIT function

<dl><dt>fit</dt>
<dd>TBD</dd>
<dt>theta</dt>
<dd>a numeric vector of length (p+1), containing MLE of parameters in a linear model.</dd></dl>

Arguments

Compute score function for a generalized linear model with Gamma response. — glmScorePIT

<dl>

<dt>fit</dt>
<dd>TBD</dd>


<dt>theta</dt>
<dd>a numeric vector of length (p+1), containing MLE of parameters in a linear model.</dd>

</dl>

glmScorePIT: Compute score function for a generalized linear model with Gamma response.

Description

Usage

Value

Arguments