COV_TYPES

An internal constant for covariance type information.

internal

Mixed models for repeated measures (MMRM) are a popular
choice for analyzing longitudinal continuous outcomes in randomized
clinical trials and beyond; see Cnaan, Laird and Slasor (1997)
<doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E>
for a tutorial and Mallinckrodt, Lane, Schnell, Peng and Mancuso
(2008) <doi:10.1177/009286150804200402> for a review. This package
implements MMRM based on the marginal linear model without random
effects using Template Model Builder ('TMB') which enables fast and
robust model fitting. Users can specify a variety of covariance
matrices, weight observations, fit models with restricted or standard
maximum likelihood inference, perform hypothesis testing with
Satterthwaite or Kenward-Roger adjustment, and extract least square
means estimates by using 'emmeans'.

Daniel Sabanes Bove

mmrm

Mixed Models for Repeated Measures

Liming Li

Julia Dedic

Doug Kelkhoff

Kevin Kunzmann

Brian Matthew Lang

Christian Stock

Ya Wang

Craig Gower-Page

Dan James

Jonathan Sidi

Daniel Leibovitz

Daniel D. Sjoberg

Nikolas Ivan Krieger

Lukas A. Widmer

Boehringer Ingelheim Ltd. 

Gilead Sciences, Inc. 

F. Hoffmann-La Roche AG 

Merck Sharp & Dohme, Inc. 

AstraZeneca plc 

inferential.biostatistics GmbH 

COV_TYPES function

A data frame with 5 variables and one record per covariance type:
<dl>
<dt>name</dt>
<dd>The long-form name of the covariance structure type</dd><dt>abbr</dt>
<dd>The abbreviated name of the covariance structure type</dd><dt>habbr</dt>
<dd>The abbreviated name of the heterogeneous version of a covariance
structure type (The abbreviated name (<code>abbr</code>) with a trailing <code>"h"</code> if
the structure has a heterogeneous implementation or <code>NA</code> otherwise).</dd><dt>heterogeneous</dt>
<dd>A logical value indicating whether the covariance structure has a
heterogeneous counterpart.</dd><dt>spatial</dt>
<dd>A logical value indicating whether the covariance structure is spatial.</dd>
</dl>

Format

Covariance Type Database — COV_TYPES

A data frame with 5 variables and one record per covariance type:
<dl>
<dt>name</dt>
<dd>The long-form name of the covariance structure type</dd>

<dt>abbr</dt>
<dd>The abbreviated name of the covariance structure type</dd>

<dt>habbr</dt>
<dd>The abbreviated name of the heterogeneous version of a covariance
structure type (The abbreviated name (<code>abbr</code>) with a trailing <code>"h"</code> if
the structure has a heterogeneous implementation or <code>NA</code> otherwise).</dd>

<dt>heterogeneous</dt>
<dd>A logical value indicating whether the covariance structure has a
heterogeneous counterpart.</dd>

<dt>spatial</dt>
<dd>A logical value indicating whether the covariance structure is spatial.</dd>


</dl>

Covariance Type Database

COV_TYPES: Covariance Type Database

Description

Usage

Arguments

Format