Bayesian Functional Linear Regression with Sparse Step Functions


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Documentation for package ‘bliss’ version 1.0.2

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bliss-package bliss: Bayesian functional Linear regression with Sparse Step functions
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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
res_bliss1 A result of the BliSS method
sigmoid sigmoid
sigmoid_sharp sigmoid_sharp
sim sim
sim_x sim_x
support_estimation support_estimation