Bayesian Functional Linear Regression with Sparse Step Functions

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Documentation for package ‘bliss’ version 1.1.0

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

Help Pages

bliss-package	bliss: Bayesian functional Linear regression with Sparse Step functions
%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
do_need_to_reduce	do_need_to_reduce
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
post_treatment_bliss	post_treatment_bliss
predict_bliss	predict_bliss
predict_bliss_distribution	predict_bliss_distribution
printbliss	Print a bliss Object
reduce_x	reduce_x
res_bliss1	A result of the BliSS method
sigmoid	sigmoid
sigmoid_sharp	sigmoid_sharp
sim	sim
sim_x	sim_x
support_estimation	support_estimation