MECfda (version 0.2.0)

predict.fcRegression: Predicted values based on fcRegression object

Description

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

Usage

# S3 method for fcRegression
predict(object, newData.FC, newData.Z = NULL, ...)

Value

See predict.lm, predict.glm, predict.merMod.

Arguments

object

A fcRegression class object produced by fcRegression.

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 arguement Z in fcRegression.

...

Further arguments passed to or from other methods, including predict.lm, predict.glm, predict.merMod.

Author

Heyang Ji

Details

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

Examples

data(MECfda.data.sim.0.0)
res = fcRegression(FC = MECfda.data.sim.0.0$FC, Y=MECfda.data.sim.0.0$Y, Z=MECfda.data.sim.0.0$Z,
                   basis.order = 5, basis.type = c('Bspline'),
                   formula.Z = ~ Z_1 + (1|Z_2))
data(MECfda.data.sim.1.0)
predict(object = res, newData.FC = MECfda.data.sim.1.0$FC,newData.Z = MECfda.data.sim.1.0$Z)