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Predict for class GauPro
# S3 method for GauPro predict(object, XX, se.fit = F, covmat = F, split_speed = T, ...)
Object of class GauPro
new points to predict
Should standard error be returned (and variance)?
Should the covariance matrix be returned?
Should the calculation be split up to speed it up?
Additional parameters
Prediction from object at XX
# NOT RUN { n <- 12 x <- matrix(seq(0,1,length.out = n), ncol=1) y <- sin(2*pi*x) + rnorm(n,0,1e-1) gp <- GauPro(X=x, Z=y, parallel=FALSE) predict(gp, .448) # }
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