loglik: Calculate log-likelihood

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

Description

Calculates log-likelihood after obtaining draws from the joint posterior distribution. Use after running run_mcmc.

Usage

loglik(y, X, Bs, Bt, missing, Theta, Varphi, iter, burnin)

Arguments

y	A list of of length n containing responses
X	An n x p design matrix
Bs	Basis matrix for longitudinal direction
Bt	Basis matrix for functional direction
missing	A list of length n containing missing indices for each response
Theta	Posterior draws of Theta, arranges in a cube
Varphi	Posterior draws of Varphi, vector format
iter	Number of total samples
burnin	Number of samples to use as burnin

Value

A Matrix of size (iter - burnin) x number of observed time points over all subjects containing log-likelihood values

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