glmMLE

Compute maximum likelihood estimates 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

glmMLE function

<dl><dt>fit</dt>
<dd>is an object of class <code>glm</code> and its default value is NULL. If a fit of class <code>glm</code> is provided,
the arguments <code>x</code>, <code>y</code>, and <code>l</code> will be ignored. We recommend using <code>glm2</code> function from
<code>glm2</code> package since it provides better convergence while optimizing the likelihood to estimate
coefficients of the model by IWLS method. It is required to return design matrix by <code>x</code> = <code>TRUE</code> in
<code><a href="/link/glm?package=gofedf&version=0.1.0" data-mini-rdoc="gofedf::glm">glm</a></code> or <code>glm2</code> function. For more information on how to do this, refer to the help
documentation for the <code><a href="/link/glm?package=gofedf&version=0.1.0" data-mini-rdoc="gofedf::glm">glm</a></code> or <code>glm2</code> function.</dd></dl>

Arguments

Compute maximum likelihood estimates for a generalized linear model with Gamma response. — glmMLE

<dl>

<dt>fit</dt>
<dd>is an object of class <code>glm</code> and its default value is NULL. If a fit of class <code>glm</code> is provided,
the arguments <code>x</code>, <code>y</code>, and <code>l</code> will be ignored. We recommend using <code>glm2</code> function from
<code>glm2</code> package since it provides better convergence while optimizing the likelihood to estimate
coefficients of the model by IWLS method. It is required to return design matrix by <code>x</code> = <code>TRUE</code> in
<code><a href='https://rdrr.io/r/stats/glm.html'>glm</a></code> or <code>glm2</code> function. For more information on how to do this, refer to the help
documentation for the <code><a href='https://rdrr.io/r/stats/glm.html'>glm</a></code> or <code>glm2</code> function.</dd>

</dl>

glmMLE: Compute maximum likelihood estimates for a generalized linear model with Gamma response.

Description

Usage

Value

Arguments