compute_sd_gp {GPCERF} | R Documentation |
Compute posterior credible interval
Description
Computes posterior credible interval for requested exposure level.
Usage
compute_sd_gp(
w,
scaled_obs,
hyperparam,
sigma,
gps_m,
kernel_fn = function(x) exp(-x^2)
)
Arguments
w |
A scalar of exposure level of interest. |
scaled_obs |
A matrix of two columns.
|
hyperparam |
A vector of hyper-parameters for the GP.
|
sigma |
A scaler that represents noise. |
gps_m |
An S3 gps object including: gps: A data.frame of GPS vectors. - Column 1: GPS - Column 2: Prediction of exposure for covariate of each data sample (e_gps_pred). - Column 3: Standard deviation of e_gps (e_gps_std) used_params: - dnorm_log: TRUE or FLASE |
kernel_fn |
The covariance function of GP. |
Value
Posterior credible interval (scaler) for the requested exposure level (w).