varBetafun_gls

Compute covariance of Beta for a Generalized Least Squares (<code>GLS</code>) Model

internal

A shiny app for accurate estimation of vaccine induced immunogenicity
with bivariate linear modeling. Method is detailed in: Lhomme, Hejblum, Lacabaratz,
Wiedemann, Lelievre, Levy, Thiebaut & Richert (2020). Journal of Immunological Methods,
477:112711. <doi:10.1016/j.jim.2019.112711>.

Boris P. Hejblum

vici

Vaccine Induced Cellular Immunogenicity with Bivariate Modeling

Boris Hejblum

Melanie Huchon

Clement Nerestan

varBetafun_gls function

<dl><dt>varpar</dt>
<dd>variance parameters.</dd>
<dt>gls_obj</dt>
<dd>a <code>gls</code> object.</dd></dl>

Arguments

Compute covariance of Beta for a Generalized Least Squares (GLS) Model — varBetafun_gls

<dl>

<dt>varpar</dt>
<dd>variance parameters.</dd>


<dt>gls_obj</dt>
<dd>a <code>gls</code> object.</dd>

</dl>

varBetafun_gls: Compute covariance of Beta for a Generalized Least Squares (`GLS`) Model

Description

Usage

Value

Arguments

Details