endometrial

Histology grade and risk factors for 79 cases of endometrial cancer

datasets

Provides the "enrich()" method for augmenting list-like R objects with additional, model-specific components. Methods are currently available for objects of class "family", "link-glm", "lm", "glm", and "betareg". Enriched objects retain their original class and remain compatible with existing methods. For example, enriching a "glm" object produces an "enriched_glm" object that also inherits from "glm". In addition to the standard components, the "enriched_glm" object includes methods for simulation and functions to compute scores, observed and expected information matrices, first-order bias, and other model quantities such as densities, probabilities, and quantiles, which can be evaluated at use-supplied parameter values. The package also provides tools for generating customizable source code templates for the structured implementation of methods to compute new components and enrich arbitrary objects.

Ioannis Kosmidis

enrichwith

Methods to Enrich R Objects with Extra Components

endometrial function

A data frame with 79 rows and 4 variables:<dl><dt>NV</dt>
<dd>neovasculization with coding 0 for absent and 1 for present</dd>
<dt>PI</dt>
<dd>pulsality index of arteria uterina</dd>
<dt>EH</dt>
<dd>endometrium height</dd>
<dt>HG</dt>
<dd>histology grade with coding 0 for low grade and 1 for high grade</dd></dl>

Format

Histology grade and risk factors for 79 cases of endometrial cancer — endometrial

A data frame with 79 rows and 4 variables:<dl>

<dt>NV</dt>
<dd>neovasculization with coding 0 for absent and 1 for present</dd>


<dt>PI</dt>
<dd>pulsality index of arteria uterina</dd>


<dt>EH</dt>
<dd>endometrium height</dd>


<dt>HG</dt>
<dd>histology grade with coding 0 for low grade and 1 for high grade</dd>



</dl>

endometrial: Histology grade and risk factors for 79 cases of endometrial cancer

Description

Usage

Arguments

Format