compute_expected_cases
                        Compute expected cases
compute_log_incidence   Compute log likelihood of incidence model
covid_delay_dist        Delay distribution from COVID-19 pandemic.
covid_new_york_city     New York City data from the COVID-19 pandemic.
data_check              Input data check
data_processing         Data processing wrapper
diff_trans              Transpose of the 1st difference operator
fit_incidence           Fit incidence curve to reported data
front_zero_pad          Pad reported data with zeros in front
incidence_to_df         Export incidence model to data frame
init_params             Initialize spline parameters (beta)
make_ar_extrap_samps    Make AR samples for extrapolation past end
                        point
make_likelihood_matrix
                        Make delay likelihood matrix
make_spline_basis       Create spline basis matrix
marg_loglike_poisson    Marginal log likelihood This function computes
                        the marginal probability of Pr(reported |
                        beta).  Note that lnPmat must be zero padded
                        enough (or censored) to match the length of
                        reported cases vector.
marg_loglike_poisson_fisher
                        Marginal log likelihood Fisher information
                        matrix
marg_loglike_poisson_grad
                        Marginal log likelihood gradient
plot.incidence_spline_model
                        Plot model from fit_incidence
poisson_objective       Poisson objective function
poisson_objective_grad
                        Poisson objective function gradient
poisson_objective_post_cov_approx
                        Compute Fisher information matrix for Poisson
                        objective
regfun                  Beta regularization function
regfun_grad             Beta regularization function gradient
regfun_hess             Beta regularization function Hessian
sample_laplace_log_incidence_poisson
                        Generate Laplace samples of incidence
scan_spline_dof         Scan spline degrees of freedom
scan_spline_lam         Scan spline regularization parameter
spanish_flu             Daily flu mortality from 1918 flu pandemic.
spanish_flu_delay_dist
                        Delay distribution from 1918 flu pandemic.
train_and_validate      Train and validate model on reported data
train_val_split         Split reported case data
