dot-Q_plausibility_contour: Need inverse covariance matrix to calculate...
In mhuiying/scp: Spatial Conformal Prediction

.Q_plausibility_contour

R Documentation

Need inverse covariance matrix to calculate plausibility_contour

Need inverse covariance matrix to calculate plausibility_contour

.Q_plausibility_contour(Q, Y_cand, Y_aug, w_aug, pred_fun, T_dfun)

`Q`	an n+1 \times n+1 inverse of estimated covariance matrix.
`Y_cand`	a vector of candidate Y values.
`Y_aug`	augmented Y values, as an output of `.prime`.
`w_aug`	augmented weights, as an output of `.prime`.
`pred_fun`	spatial prediction function with inputs being `s0, s, Y` and ouputs being predicted `Y(s0)` (and its standard error). Defaults to `krige_pred`.
`T_dfun`	transformed `dfun`, as an output of `trans_dfun`.