PEN_death               The monthly all-cause mortality for male with
                        age less than 40 in Pennsylvania.
ccData                  A simulated dataset from the case-crossover
                        model.
compute_d_step_sgpsd    Compute the SD correction factor for sgp
compute_post_fun_iwp    Computing the posterior samples of the function
                        or its derivative using the posterior samples
                        of the basis coefficients for iwp
compute_post_fun_sgp    Computing the posterior samples of the function
                        using the posterior samples of the basis
                        coefficients for sGP
compute_weights_precision
                        Constructing the precision matrix given the
                        knot sequence
compute_weights_precision_helper
                        Constructing the precision matrix given the
                        knot sequence (helper)
covid_canada            The COVID-19 daily death data in Canada.
custom_template         Custom Template Function
dummy                   Roxygen commands
extract_mean_interval_given_samps
                        Construct posterior inference given samples
f                       Function defined to enhance the usability for
                        users on IDEs.
get_default_option_list_MCMC
                        Get default options for MCMC implementation
global_poly_helper      Constructing and evaluating the global
                        polynomials, to account for boundary conditions
                        (design matrix)
global_poly_helper_sgp
                        Constructing and evaluating the global
                        polynomials, to account for boundary conditions
                        (design matrix) of sgp
local_poly_helper       Constructing and evaluating the local O-spline
                        basis (design matrix)
model_fit               Model fitting with random effects/fixed effects
model_fit_loop          Repeated fitting Bayesian Hierarchical Models
                        for a sequence of values of the looping
                        variable.
para_density            Obtain the posterior and prior density of all
                        the parameters in the fitted model
post_table              Obtain the posterior summary table for all the
                        parameters in the fitted model
predict.FitResult       To predict the GP component in the fitted
                        model, at the locations specified in 'newdata'.
prior_conversion_iwp    Construct prior based on d-step prediction SD
                        (for iwp)
prior_conversion_sgp    Construct prior based on d-step prediction SD
                        (for sgp)
sample_fixed_effect     Extract the posterior samples from the fitted
                        model for the target fixed variables.
sd_density              Obtain the posterior density of a SD parameter
                        in the fitted model
sd_plot                 Plot the posterior density of a SD parameter in
                        the fitted model
