prClearPCAclass

Removes the printCrudeAndAdjusted class from arguments

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 add-ons 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

prClearPCAclass function

<dl><dt>...</dt>
<dd>The parameters to the cbind/rbind functions</dd></dl>

Arguments

Removes the printCrudeAndAdjusted class from arguments — prClearPCAclass

<dl>

<dt>...</dt>
<dd>The parameters to the cbind/rbind functions</dd>

</dl>

prClearPCAclass: Removes the printCrudeAndAdjusted class from arguments

Description

Usage

Value

Arguments