add_cov

Simulate covariates with a multivariate normal distribution

internal

method

A tool which aims to help evaluate the effect of external borrowing using an integrated approach described in Lewis et al., (2019) <doi:10.1080/19466315.2018.1497533> that combines propensity score and Bayesian dynamic borrowing methods.

Isaac Gravestock

psborrow

Bayesian Dynamic Borrowing with Propensity Score

Craig Gower-Page

Matt Secrest

Yichen Lu

Aijing Lin

F. Hoffmann-La Roche AG 

add_cov function

<dl><dt>dt</dt>
<dd>a <code>matrix</code> generated in <code>set_n</code></dd>
<dt>covObj</dt>
<dd>an object of class <code>.covClass</code> generated in <code>set_cov</code></dd>
<dt>seed</dt>
<dd>the seed of R‘s random number generator. Default is the first element of .Random.seed</dd></dl>

Arguments

Simulate covariates with a multivariate normal distribution — add_cov

<dl>

<dt>dt</dt>
<dd>a <code>matrix</code> generated in <code>set_n</code></dd>


<dt>covObj</dt>
<dd>an object of class <code>.covClass</code> generated in <code>set_cov</code></dd>


<dt>seed</dt>
<dd>the seed of R‘s random number generator. Default is the first element of .Random.seed</dd>

</dl>

add_cov: Simulate covariates with a multivariate normal distribution

Description

Usage

Value

Arguments