prPrintCAstring

The output object from the printCrudeAndAdjustedModel function

Css style for the rgorup, if different styles are wanted for each of the
rgroups you can just specify a vector with the number of elements. Passed on to <code><a rd-options="" href="/link/htmlTable?package=Greg&version=1.2" data-mini-rdoc="Greg::htmlTable">htmlTable</a></code>.

css.rgroup

Passed onto the Hmisc::<code><a rd-options="" href="/link/latex?package=Greg&version=1.2" data-mini-rdoc="Greg::latex">latex</a></code> function, or to 
the <code><a rd-options="" href="/link/htmlTable?package=Greg&version=1.2" data-mini-rdoc="Greg::htmlTable">htmlTable</a></code> via the print call. Any variables that match
the formals of <code><a rd-options="" href="/link/getCrudeAndAdjustedModelData?package=Greg&version=1.2" data-mini-rdoc="Greg::getCrudeAndAdjustedModelData">getCrudeAndAdjustedModelData</a></code> are identified
and passed on in case you have provided a model and not the returned element
from the <code><a rd-options="" href="/link/getCrudeAndAdjustedModelData?package=Greg&version=1.2" data-mini-rdoc="Greg::getCrudeAndAdjustedModelData">getCrudeAndAdjustedModelData</a></code> call.


Since we have both the <code><a rd-options="base" href="/link/print?package=Greg&version=1.2&to=base" data-mini-rdoc="base::print">print</a></code> and the
<code><a rd-options="knitr" href="/link/knit_print?package=Greg&version=1.2&to=knitr" data-mini-rdoc="knitr::knit_print">knit_print</a></code> that we need to call it is
useful to have a common string preparer.
<em>Note:</em> Currently knit_print doesn't work as expected...


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 descriptives methods, there are addons 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-spliting a dataset when modeling non-proportional hazards in Cox regressions.

prPrintCAstring: Prep for printing

Description

Usage

Arguments