extract_params

Extracts the beta and sigma coefficients from an MMRM model created
by <code>mmrm::mmrm()</code>.

Implements standard and reference based multiple imputation methods for continuous
longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular,
this package supports deterministic conditional mean imputation and jackknifing as described
in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described
in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum
likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.

Craig Gower-Page

rbmi

Reference Based Multiple Imputation

Isaac Gravestock

Alessandro Noci

Marcel Wolbers

Daniel Sabanes Bove

F. Hoffmann-La Roche AG 

extract_params function

<dl><dt>fit</dt>
<dd>an object created by <code>mmrm::mmrm()</code></dd></dl>

Arguments

Extract parameters from a MMRM model — extract_params

<dl>

<dt>fit</dt>
<dd>an object created by <code>mmrm::mmrm()</code></dd>

</dl>

extract_params: Extract parameters from a MMRM model

Description

Usage

Arguments

Details