prExtractOutcomeFromModel

Uses the model to extract the outcome variable. Throws
error if unable to find the outcome.

internal

Methods for manipulating regression models and for describing these in a style adapted for medical journals.
Contains functions for generating an HTML table with crude and adjusted estimates, plotting hazard ratio, plotting model
estimates and confidence intervals using forest plots, extending this to comparing multiple models in a single forest plots.
In addition to the descriptive methods, there are functions for the robust covariance matrix provided by the 'sandwich'
package, a function for adding non-linearities to a model, and a wrapper around the 'Epi' package's Lexis() functions for
time-splitting a dataset when modeling non-proportional hazards in Cox regressions.

Max Gordon

Greg

Regression Helper Functions

Reinhard Seifert

prExtractOutcomeFromModel function

<dl><dt>model</dt>
<dd>The fitted model</dd>
<dt>mf</dt>
<dd>The dataset that the model is fitted to - if missing it
uses the <code><a href="/link/model.frame?package=Greg&version=2.0.2" data-mini-rdoc="Greg::model.frame">model.frame</a>()</code> dataset. This can cause
length issues as there may be variables that are excluded from the
model for different reasons.</dd></dl>

Arguments

Get model outcome — prExtractOutcomeFromModel

<dl>

<dt>model</dt>
<dd>The fitted model</dd>


<dt>mf</dt>
<dd>The dataset that the model is fitted to - if missing it
uses the <code><a href='https://rdrr.io/r/stats/model.frame.html'>model.frame</a>()</code> dataset. This can cause
length issues as there may be variables that are excluded from the
model for different reasons.</dd>

</dl>

prExtractOutcomeFromModel: Get model outcome

Description

Usage

Value

Arguments