simulated_rmsMD_data

Generates a synthetic dataset for testing and demonstration purposes in the <code>rmsMD</code> package.

Provides streamlined functions for summarising and visualising
regression models fitted with the 'rms' package, in the preferred format for medical journals.
The 'modelsummary_rms()' function produces concise summaries for linear, logistic, and
Cox regression models, including automatic handling of models containing restricted
cubic spline (RCS) terms. The resulting summary dataframe can be easily converted into
publication-ready documents using the 'flextable' and 'officer' packages. The 'ggrmsMD()'
function creates clear and customizable plots ('ggplot2' objects) to visualise RCS terms.

Samuel Tingle

rmsMD

Output Results from 'rms' Models for Medical Journals

Georgios Kourounis

simulated_rmsMD_data function

<dl><dt>type</dt>
<dd>Character string; either <code>"complete_case"</code> (no missing data) or <code>"missing_for_MI"</code> (introduces 10% missing data in each predictor).</dd></dl>

Arguments

Simulated Data for the Vignette — simulated_rmsMD_data

<dl>

<dt>type</dt>
<dd>Character string; either <code>"complete_case"</code> (no missing data) or <code>"missing_for_MI"</code> (introduces 10% missing data in each predictor).</dd>

</dl>

simulated_rmsMD_data: Simulated Data for the Vignette

Description

Usage

Value

Arguments