get_posterior_summaries: Post-process MCMC samples

In jshamsho/LFBayes: Bayesian analysis of longitudinal and multidimensional functional data

Description

This function will post-process posterior draws from an object returned from run_mcmc.

Usage

get_posterior_summaries(
  splineS,
  splineT,
  mod,
  numeig,
  iter,
  burnin,
  nchains,
  s,
  t,
  alpha
)

Arguments

splineS	basis matrix in the longitudinal direction
splineT	basis matrix in the functional direction
mod	an object returned from run_mcmc
numeig	number of eigenfunctions to infer
iter	number of total iterations in the original mcmc
burnin	number of these iterations to use as burnin
nchains	number of chains
s	complete data longitudinal times
t	complete data functional times

Value

Posterior marginal eigenfunctions, eigenvalues, mean, and their associated uncertainty.

Examples

See the example in Root/Example

jshamsho/LFBayes documentation built on June 8, 2021, 4:38 a.m.