compute_chains_info: compute_chains_info

In bliss: Bayesian Functional Linear Regression with Sparse Step Functions

compute_chains_info

Description

Compute summaries of Gibbs Sampler chains.

Usage

compute_chains_info(chain, param)

Arguments

chain	a list given by the Bliss_Gibbs_Sampler function.
param	a list containing: K a vector of integers, corresponding to the numbers of intervals for each covariate. grids a numerical vector, the observation time points. basis a vector of characters (optional) among : "uniform" (default), "epanechnikov", "gauss" and "triangular" which correspond to different basis functions to expand the coefficient function and the functional covariates.

Value

Return a list containing the estimates of mu and sigma_sq, the Smooth estimate and the chain autocorrelation for mu, sigma_sq and beta.

Examples

a=1

bliss documentation built on May 29, 2024, 8:35 a.m.