consensus: Consensus Combination of Posterior Draws from Joint Model...

In JMbayes2: Extended Joint Models for Longitudinal and Time-to-Event Data

Consensus Combination of Posterior Draws from Joint Model Fits

Description

This function combines posterior draws from multiple joint model fits into a single set of draws.

Usage

consensus(object, parm, method = c("union", "equal_weight", "var_weight"),
          seed = 123L)

Arguments

object	an object of class "sliced_jm".
parm	a character vector with the names of parameters to combine. These must correspond to elements in fit$mcmc[[parm]] for each fit (e.g., "gammas", "alphas", "betas1", "betas2").
method	the consensus method used to combine draws. "union" concatenate draws across slices (no averaging). "equal_weight" compute an iteration-wise simple average across slices. "var_weight" compute an iteration-wise weighted average across slices using inverse-variance weights.
seed	an integer seed used for the within-slice random permutation step (used by "equal_weight" and "var_weight").

Value

An object of class "consensus_jm" with components:

method

the selected method.

parm

the requested parameter(s) block(s).

n_splits

number of fits combined.

draws

named list of combined draw matrices (one per parameter block).

weights

for "equal_weight" and "var_weight", a named list of weight matrices.

n_draws

number of combined draws per parameter block.

summary

named list of summary matrices with Mean, StDev, 2.5%, 97.5%, and P).

seed

seed used.

Author(s)

Pedro Miranda-Afonso [e-mail]

JMbayes2 documentation built on Oct. 16, 2026, 1:06 a.m.