h_get_diagnostics

Compute the model diagnostic statistics for a linear mixed model fit.

internal

Mixed models for repeated measures (MMRM) are a popular
choice for analyzing longitudinal continuous outcomes in randomized
clinical trials and beyond; see for example Cnaan, Laird and Slasor
(1997)
<doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E>.
This package provides an interface for fitting MMRM within the 'tern'
<https://cran.r-project.org/package=tern> framework by Zhu et al.
(2023) and tabulate results easily using 'rtables'
<https://cran.r-project.org/package=rtables> by Becker et al. (2023).
It builds on 'mmrm' <https://cran.r-project.org/package=mmrm> by
Sabanés Bové et al. (2023) for the actual MMRM computations.

Joe Zhu

tern.mmrm

Tables and Graphs for Mixed Models for Repeated Measures (MMRM)

Daniel Sabanés Bové

Godwin Yung

Francois Collin

Julia Dedic

Jana Stoilova

F. Hoffmann-La Roche AG 

h_get_diagnostics function

<dl><dt>fit</dt>
<dd>(<code>mmrm</code>) object fit with <code>mmrm::mmrm()</code>.</dd></dl>

Arguments

Linear Mixed Model Diagnostics — h_get_diagnostics

<dl>

<dt>fit</dt>
<dd>(<code>mmrm</code>) object fit with <code>mmrm::mmrm()</code>.</dd>

</dl>

h_get_diagnostics: Linear Mixed Model Diagnostics

Description

Usage

Value

Arguments