mvpostmix

Calculate conjugate posterior mixture of multivariate normals with known covariance matrix

The DoseFinding package provides functions for the design and analysis
of dose-finding experiments (with focus on pharmaceutical Phase
II clinical trials). It provides functions for: multiple contrast
tests, fitting non-linear dose-response models (using Bayesian and
non-Bayesian estimation), calculating optimal designs and an
implementation of the MCPMod methodology (Pinheiro et al. (2014)
<doi:10.1002/sim.6052>).

Marius Thomas

DoseFinding

Planning and Analyzing Dose Finding Experiments

Bjoern Bornkamp

Jose Pinheiro

Frank Bretz

Ludger Sandig

Novartis Pharma AG 

mvpostmix function

<dl> <dt>priormix</dt>
<dd>Prior multivariate normal mixture given as a list of length 3. The
 first list entry contains the mixture weights, the second component
 the mean vectors and the third component of the list the covariance matrices.</dd> <dt>mu_hat</dt>
<dd>estimated mean response for each dose</dd> <dt>S_hat</dt>
<dd>estimated covariance matrix</dd></dl>

Arguments

Author

Prior to posterior updating for a multivariate normal mixture — mvpostmix

<dl>

 <dt>priormix</dt>
<dd>Prior multivariate normal mixture given as a list of length 3. The
 first list entry contains the mixture weights, the second component
 the mean vectors and the third component of the list the covariance matrices.</dd>

 <dt>mu_hat</dt>
<dd>estimated mean response for each dose</dd>

 <dt>S_hat</dt>
<dd>estimated covariance matrix</dd>

</dl>

mvpostmix: Prior to posterior updating for a multivariate normal mixture

Description

Usage

Value

Arguments

Author

References