image_Bliss: image_Bliss

In bliss: Bayesian Functional Linear Regression with Sparse Step Functions

image_Bliss

Description

Plot an approximation of the posterior density.

Usage

image_Bliss(beta_posterior_density, param = list(), q = 1, to_print = TRUE)

Arguments

beta_posterior_density	a list. The result of the function compute_beta_posterior_density.
param	an optional list containing arguments: col_low, col_mid, col_high, ylim, xlab, ylab, title.
q	an integer (optional), the index of the functional covariate to plot.
to_print	display the plot if TRUE.

Examples

data(data1)
data(param1)
data(res_bliss1)

image_Bliss(res_bliss1$beta_posterior_density,param1,q=1)

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