autoplot.cerf_gp | A helper function for cerf_gp object |
autoplot.cerf_nngp | A helper function for cerf_nngp object |
compute_deriv_nn | Calculate derivatives of CERF for nnGP |
compute_deriv_weights_gp | Calculate derivatives of CERF |
compute_inverse | Compute matrix inverse for a covariate matrix |
compute_m_sigma | Compute mean, credible interval, and covariate balance in... |
compute_posterior_m_nn | Calculate posterior means for nnGP model |
compute_posterior_sd_nn | Calculate posterior standard deviations for nnGP model |
compute_rl_deriv_gp | Detect change-point in standard GP |
compute_rl_deriv_nn | Calculate right minus left derivatives for change-point... |
compute_sd_gp | Compute posterior credible interval |
compute_w_corr | Compute weighted covariate balance |
compute_weight_gp | Calculate weights for estimation of a point on CERF |
estimate_cerf_gp | Estimate the conditional exposure response function using... |
estimate_cerf_nngp | Estimate the conditional exposure response function using... |
estimate_gps | Estimate a model for generalized propensity score |
estimate_mean_sd_nn | Estimate the CERF with the nnGP model |
estimate_noise_gp | Estimate the standard deviation of the nugget term in... |
estimate_noise_nn | Estimate the standard deviation (noise) of the nugget term in... |
find_optimal_nn | Find the optimal hyper-parameter for the nearest neighbor... |
generate_synthetic_data | Generate synthetic data for the GPCERF package |
get_logger | Get logger settings |
GPCERF-package | The 'GPCERF' package. |
log_system_info | Log system information |
plot.cerf_gp | Extend generic plot functions for cerf_gp class |
plot.cerf_nngp | Extend generic plot functions for cerf_nngp class |
print.cerf_gp | Extend print function for cerf_gp object |
print.cerf_nngp | Extend print function for cerf_nngp object |
set_logger | Set logger settings |
summary.cerf_gp | print summary of cerf_gp object |
summary.cerf_nngp | print summary of cerf_nngp object |
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