API for pmgrollemund/bliss
Bayesian Functional Linear Regression with Sparse Step Functions

Global functions
%between% Man page
BIC_model_choice Man page Source code
Bliss_Gibbs_Sampler Man page Source code
Bliss_Gibbs_Sampler_cpp Source code
Bliss_Simulated_Annealing Man page Source code
Bliss_Simulated_Annealing_cpp Source code
Epanechnikov_cpp Source code
bliss Man page
build_Fourier_basis Man page Source code
change_grid Man page Source code
choose_beta Man page Source code
compute_beta_cpp Source code
compute_beta_posterior_density Man page Source code
compute_beta_sample Man page Source code
compute_beta_sample_cpp Source code
compute_chains_info Man page Source code
compute_random_walk Man page Source code
compute_starting_point_sann Man page Source code
corr_matrix Man page Source code
data1 Man page
determine_intervals Man page Source code
dposterior Man page Source code
dposterior_cpp Source code
fit_Bliss Man page Source code
gaussian_cpp Source code
ginv_cpp Source code
image_Bliss Man page Source code
integrate_trapeze Man page Source code
integrate_trapeze_cpp Source code
interpretation_plot Man page Source code
lines_bliss Man page Source code
loss_cpp Source code
moving_average_cpp Source code
mvrnormArma Source code
param1 Man page
pdexp Man page Source code
plot_bliss Man page Source code
potential_intervals_List Source code
potential_intervals_extract Source code
printbliss Man page Source code
res_bliss1 Man page
sigmoid Man page Source code
sigmoid_sharp Man page Source code
sim Man page Source code
sim_x Man page Source code
support_estimation Man page Source code
triangular_cpp Source code
uniform_cpp Source code
update_b_tilde Source code
update_lqk Source code
update_mqk Source code
pmgrollemund/bliss documentation built on Feb. 28, 2024, 12:35 p.m.