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 |
PEN_death |
The monthly all-cause mortality for male with age less than 40 in Pennsylvania. |
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 |