predict.fcQR: Predicted values based on fcQR object

In MECfda: Scalar-on-Function Regression with Measurement Error Correction

Predicted values based on fcQR object

Description

Predicted values based on the Quantile linear model with functional covariates represented by a "fcQR" class object.

Usage

## S3 method for class 'fcQR'
predict(object, newData.FC, newData.Z = NULL, ...)

Arguments

object	A fcQR class object produced by fcQR.
newData.FC	A atomic vector or a matrix or a dataframe or a functional_variable class object or a list of objects above. See argument FC in fcRegression.
newData.Z	A dataframe or a matrix or a atomic vector. See argument Z in fcRegression.
...	Further arguments passed to or from other methods predict.rq.

Details

If no new data is input, will return the fitted value.

Value

See predict.rq.

Author(s)

Heyang Ji

MECfda documentation built on April 3, 2025, 10:07 p.m.