Predict method for an EQRN_iid fitted object

Usage

# S3 method for class 'EQRN_iid'
predict(object, ...)

Arguments

object

Fitted "EQRN_iid" object.

...

Arguments passed on to EQRN_predict

X: Matrix of covariates to predict the corresponding response's conditional quantiles.
prob_lvls_predict: Vector of probability levels at which to predict the conditional quantiles.
intermediate_quantiles: Vector of intermediate conditional quantiles at level fit_eqrn$interm_lvl.
interm_lvl: Optional, checks that interm_lvl == fit_eqrn$interm_lvl.
device: (optional) A torch::torch_device(). Defaults to default_device().

Value

Matrix of size nrow(X) times prob_lvls_predict containing the conditional quantile estimates of the response associated to each covariate observation at each probability level. Simplifies to a vector if length(prob_lvls_predict)==1.

Details

See EQRN_predict() for more details.