Function reference • bliss

All functions
`BIC_model_choice()`	BIC_model_choice
`bliss-package` `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
`%between%`	between
`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

Reference