predict.emdr2: Predictions from emdr2

In PierreMasselot/Library--emdr: Tools for EMD-regression

Description

Method predict for emdr2 objects.

Usage

## S3 method for class 'emdr2'
predict(object, newmimfs = NULL, newcovariates = NULL, method = "predict", ...)

Arguments

object	An emdr2 object.
newmimfs	Array of new MIMFs values for prediction. Number of IMFs and variables must match those of the mimf argument given in the emdr2 function. If NULL, the data used to fit the model are used.
newcovariates	Data.frame of new covariates value for prediction.
method	The name of a prediction method linked to the regression function used for emdr2.
...	Additional arguments for the predict method.

Details

If new data are given for prediction, both newmimfs and newcovariates must be given (provided covariates have been used in the model).

Value

A vector of predicted values.

Examples

   library(dlnm)

   dat <- chicagoNMMAPS[,c("death", "temp", "rhum")]

   mimfs <- memd(dat)
   cmimfs <- combine.mimf(mimfs, list(12:13, 14:17, 18:19), 
     new.names = c("C12", "C13", "r"))

   lm.R2 <- emdr2(death ~ temp + rhum, mimf = cmimfs)
   deathHat <- predict(lm.R2)

PierreMasselot/Library--emdr documentation built on June 19, 2021, 8:58 a.m.