R/abcgp_native.R
gp_predict.Rd
Posterior mean and sd at theta
gp_predict(fit, theta)
See Usage.
fit <- gp_fit(design = c(0, 0.25, 0.5, 0.75, 1), values = sin(2 * pi * c(0, 0.25, 0.5, 0.75, 1))) gp_predict(fit, theta = 0.6) #> mean sd #> -0.51084953 0.05067801