active_covariates       Extract names of non-seasonal covariates from a
                        fitted model
backtest                Walk-forward backtesting for NHPP extreme value
                        models
bic_nhpp                Compute BIC for a fitted nhpp_fit model
bootstrap_coef          Parametric bootstrap confidence intervals for
                        model coefficients
bootstrap_rl            Parametric bootstrap confidence intervals for
                        return levels
build_cov_annual        Build a covariate data frame for
                        marginalization
build_design_matrices   Build design matrices for the NHPP point
                        process model
fit_nhpp                Fit a non-homogeneous point process model for
                        extremes
fit_var_generator       Fit a generic VAR generator over a model's
                        active covariates
is_nhpp_fit             Check if an object is an nhpp_fit
marginalize             Compute unconditional return levels by
                        marginalizing over covariates
n_exceedances           Extract the number of exceedances from a fitted
                        model
plot.nhpp_fit           Plot diagnostics for a fitted nhpp_fit object
pp_grad                 Analytical gradient of the penalized negative
                        log-likelihood
pp_nllh                 Penalized negative log-likelihood for the NHPP
                        model
predict_params          Compute time-varying GEV parameters from a
                        fitted model
rl_table                Wide-format return level table from
                        marginalize() output
simulate_covariates     Simulate stationary covariate trajectories from
                        a VAR generator
summary.nhpp_fit        Summarise a fitted nhpp_fit model
