INLAjoint.scopy.define

Setup weights for non-linear effects
input:

Estimation of joint models for multivariate longitudinal markers (with various distributions available) and survival outcomes (possibly accounting for competing risks) with Integrated Nested Laplace Approximations (INLA). The flexible and user friendly function joint() facilitates the use of the fast and reliable inference technique implemented in the 'INLA' package for joint modeling. More details are given in the help page of the joint() function (accessible via ?joint in the R console) and the vignette associated to the joint() function (accessible via vignette("INLAjoint") in the R console).

Denis Rustand

INLAjoint

Multivariate Joint Modeling for Longitudinal and Time-to-Event
Outcomes with 'INLA'

Elias Teixeira Krainski

Haavard Rue

Janet van Niekerk

INLAjoint.scopy.define function

<dl><dt>n</dt>
<dd>number of knots
output:</dd></dl>

Arguments

Setup scopy — INLAjoint.scopy.define

<dl>

<dt>n</dt>
<dd>number of knots
output:</dd>

</dl>

INLAjoint.scopy.define: Setup scopy

Description

Usage

Value

Arguments