# Bayesian Functional Linear Regression with Sparse Step Functions

## Documentation for package ‘bliss’ version 1.0.5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

%between% | between
BIC_model_choice | BIC_model_choice
bliss | bliss: Bayesian functional Linear regression with Sparse Step functions
Bliss_Gibbs_Sampler | Bliss_Gibbs_Sampler
Bliss_Simulated_Annealing | Bliss_Simulated_Annealing
build_Fourier_basis | build_Fourier_basis
change_grid | change_grid
choose_beta | choose_beta
compute_beta_posterior_density | compute_beta_posterior_density
compute_beta_sample | compute_beta_sample
compute_chains_info | compute_chains_info
compute_random_walk | compute_random_walk
compute_starting_point_sann | compute_starting_point_sann
corr_matrix | corr_matrix
data1 | a list of data
determine_intervals | determine_intervals
dposterior | dposterior
fit_Bliss | fit_Bliss
image_Bliss | image_Bliss
integrate_trapeze | integrate_trapeze
interpretation_plot | interpretation_plot
lines_bliss | lines_bliss
param1 | A list of param for bliss model
pdexp | pdexp
plot_bliss | plot_bliss
printbliss | Print a bliss Object
prior_Bliss | fit_Bliss
res_bliss1 | A result of the BliSS method
sigmoid | sigmoid
sigmoid_sharp | sigmoid_sharp
sim | sim
sim_x | sim_x
support_estimation | support_estimation