compute_starting_point_sann: compute_starting_point_sann

In bliss: Bayesian Functional Linear Regression with Sparse Step Functions

compute_starting_point_sann

Description

Compute a starting point for the Simulated Annealing algorithm.

Usage

compute_starting_point_sann(beta_expe)

Arguments

beta_expe

a numerical vector, the expectation of the coefficient function posterior sample.

Value

a matrix with 3 columns : "m", "l" and "b". The two first columns define the begin and the end of the intervals and the third gives the mean values of each interval.

Examples

data(res_bliss1)
mystart<-compute_starting_point_sann(apply(res_bliss1$beta_sample[[1]],2,mean))

bliss documentation built on March 18, 2022, 5:46 p.m.